Jobs

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

We are seeking Director of AI Engineering to lead teams building Agent Platform, Agents and AI Tools to automate complex engineering tasks and lead AI initiatives that will change the way products are built, tested and released to enterprise customers for all Teradata product offerings. In this role, you will shape the engineering strategy for agent development, operationalization, and productization, low‑code/no‑code/pro-code frameworks. You’ll partner with engineering, product, architecture, and AI platform teams to deliver high-impact AI capabilities that boost developer productivity and transform customer experiences. Your work will help standardize agent governance, accelerate AI adoption, and deliver measurable ROI through autonomous and semi‑autonomous engineering workflows

Your Opportunity

Lead end‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms

Drive architecture and standardization of core agent building blocks (LLM gateways, observability, knowledge bases, vector stores, evaluation frameworks).

Establish best practices for secure, governed, and auditable agent development (governance frameworks, certification processes, review workflows).

Work with product teams to integrate low‑code/no‑code and pro-code agent frameworks (e.g., Karini, N8N, or internal alternatives) into unified developer experiences.

Lead the operationalizati

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

We are seeking Director of AI Engineering to lead teams building Agent Platform, Agents and AI Tools to automate complex engineering tasks and lead AI initiatives that will change the way products are built, tested and released to enterprise customers for all Teradata product offerings. In this role, you will shape the engineering strategy for agent development, operationalization, and productization, low‑code/no‑code/pro-code frameworks. You’ll partner with engineering, product, architecture, and AI platform teams to deliver high-impact AI capabilities that boost developer productivity and transform customer experiences. Your work will help standardize agent governance, accelerate AI adoption, and deliver measurable ROI through autonomous and semi‑autonomous engineering workflows

Your Opportunity

Lead end‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms

Drive architecture and standardization of core agent building blocks (LLM gateways, observability, knowledge bases, vector stores, evaluation frameworks).

Establish best practices for secure, governed, and auditable agent development (governance frameworks, certification processes, review workflows).

Work with product teams to integrate low‑code/no‑code and pro-code agent frameworks (e.g., Karini, N8N, or internal alternatives) into unified developer experiences.

Lead the operationalizati

Become a part of our caring community and help us put health first
Become a key driver in shaping the future of AI-powered healthcare. We are looking for a Principal Applied AI Engineer, a technical leader who thrives in ambiguous, high-impact environments and is motivated by solving real problems with pragmatic, elegant, and scalable solutions. This position reports into the AI platform team, ensuring close alignment with platform strategy and delivery. It is for someone who wants autonomy, influence, and the responsibility of setting a high bar for engineering excellence.

Become a key driver in shaping the future of AI-powered healthcare. We are looking for a Principal Applied AI Engineer, a technical leader who thrives in ambiguous, high-impact environments and is motivated by solving real problems with pragmatic, elegant, and scalable solutions. This position reports into the AI platform team, ensuring close alignment with platform strategy and delivery. It is for someone who wants autonomy, influence, and the responsibility of setting a high bar for engineering excellence.

WhatYou'llDo

Lead the design and build of advanced generative AI systems,spanning LLM-powered applications, multi-agent workflows, RAG, and domain-specific reasoning engines.Architect and own robust APIs and platform capabilities that bring AI toreal businessworkflows at enterprise scale.Drive the engineering of high-quality data,feature, and evaluation pipelines that support reliable and continuously improving AI behavior.Partner with data scientists, platform engineers, and product leaders to transform conceptual ideas into resilient, testable, observable production systems.Set engineering standards and elevate team culture, emphasizing clarity, craftsmanship, iteration, and objective measures of excellence.Mentor other engineers and guide teams through complex technical decision-making.Serve as a thought leader on the practical application of generative AI technologies, emerging pa

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.

For more information, visit www.h2o.ai.

The Opportunity

We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.

You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.

What You

Hi Professionals,

Title: Healthcare Senior NLP / LLM Engineer (MLOps & AWS)-Onsite Role,Need Local to TXExperience: 7+ Years
Location: Houston, TX (3 days/week onsite)

Mandatory Skills:

Strong expertise in NLP, Machine Learning, and Deep LearningProficiency in Python for ML/NLP solution developmentHands-on experience with LLMs, prompt engineering, and agentic workflows (e.g., LangGraph)Solid knowledge of data preprocessing, feature engineering, and data validationStrong MLOps skills: model versioning, CI/CD, pipelines, monitoring, retrainingExperience with Docker and KubernetesProficiency in SQL for data analysis and transformationExperience with AWS (EMR, Spark, PySpark, Bedrock)Knowledge of PostgreSQL or MySQLStrong understanding of testing, error analysis, and model validation "Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability.”

Healthcare Senior NLP / LLM Engineer (MLOps & AWS)-Onsite Role,Need Local to TX1AWS,NLP,health OR Healthcare,MLOps,LLMN/AC2CUnited States

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you're considering We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows. Develop and maintain automated test suites for UI, API, and data layers across multiple platforms. Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines. Build and manage test data pipelines for diverse applications and environments. Create and maintain CI/CD pipelines to support continuous testing and deployment. Identify and resolve environmental and data dependencies for comprehensive E2E testing. Lead defect triage, backlog grooming, and root cause analysis sessions. Your skills and experience Around 1 year of experience working in or supporting AIbased testing environments, or strong interest with handson exposure through projects or coursework. Working knowledge of at least one programming or scripting langua

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.

Department Overview:

Research & Development at The New York Times explores how emerging technologies can be applied in service of journalism. We collaborate with designers, developers, reporters, photographers and editors to bring new forms of storytelling to life, from prototyping to publishing.

At The Times, technology permeates every aspect of our business, from our thought-provoking coverage of technological trends to the digital-first transformation of our own business to the changing world of our readers. The Research & Development team explores the new opportunities that emerging technologies may provide the New York Times and our commercial and strategic goals.

We are looking for a Senior Software Engineer with a background in applied AI to develop applications using Large Language Models (LLMs) in service of The Times mission and journalistic standards. We are looking for someone who is comfortable building projects autonomously and enjoys collaboration with a larger team. You are both curious about and skeptical of emerging technologies, excited to apply new tools, but aim to do so in service of solving important problems and making a difference for users. You take pride in your craft and understand the need to capture patterns and support future development. This is a temporary position.

Responsibilities:
Design and implement LLM-backed APIs - driving improvements to reach target outcomes through evaluation, grounding and fine-tu

Job Number: R0233768

Agentic AI Engineer

The Opportunity:

We are looking for a highly skilled Agentic AI Engineer to join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.

What You'll Work On:

Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving.Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can’t wait.

You Have:

5+ years of experience in software development2+ years of experience with GenAI, LLMs, and agentic workflowsExperience with LangChain, LangGraph, AutoGen, or LlamaIndexExperience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaborationExperience in RAG architecture and Knowledge Graphs, including Neo4j or NebulaGraphExperience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRAKnowledge of modern software design patterns, including microservice design or edge computingAbility to obtain a Secret clearanceBachelor’s degree in a Computer Science or AI field

Nice If You Have:

Experience deploying agentic systems in a production en

Agentic AI Engineer

The Opportunity:
We are looking for a highly skilledAgentic AI Engineerto join our team, specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep experience in agent orchestration frameworks, RAG, knowledge graphs, and fine-tuning Small Language Models (SLMs) for edge deployment.

What You'll Work On:

Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.

Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving.

Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.

Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.

Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can't wait.

You Have:

5+ years of experience in software development

2+ years of experience with GenAI, LLMs, and agentic workflows

Experience withLangChain, LangGraph,AutoGen, orLlamaIndex

Experience withModel Context Protocol (MCP)for tool integration andA2Afor agent-to-agent collaboration

Experience inRAGarchitecture andKnowledge Graphs, including Neo4j or NebulaGraph

Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA

Knowledge of modern software design patterns, including microservice design or edge computing

Ability to obtain a Secret clearance

Bachelor's degree in a Computer Science or AI field

Nice If You Have:

Experience deploying agentic systems in a production environme

Overview of Role As a Sr./Principal AI Engineer within TSMC's Artificial Intelligence for Business Intelligence Innovation (AI4BII) Center, you will join an exciting global team dedicated to generating crucial business intelligence insights that shape TSMC's strategic decisions and global operations. This role uniquely blends applied research with end-to-end product development, placing you at the forefront of our mission to leverage advanced AI for a competitive edge. Operating with the agility of an internal startup, you will have the autonomy to build foundational systems from the ground up. You will tackle complex challenges spanning from advanced analytics and multimodal AI agents to time-series forecasting and reinforcement learning for manufacturing optimization. This is a role for a builder and a researcher who has been through the "zero-to-one" product journey and thrives on rapid iteration, technical leadership, and seeing their work create tangible business impact. Our hybrid work schedule currently requires 4 days in the office, ensuring a dynamic and collaborative work environment. Responsibilities Lead System Architecture: Own the end-to-end design and development of new AI-native products and platforms, from initial concept and data pipelines to scalable, production-grade services. Build with Frontier AI: Drive the hands-on implementation of advanced AI systems leveraging frontier LLM models, including the design of robust Retrieval-Augmented Generation (RAG) pipelines and multi-agent workflows. Prototype and Validate: Lead rapid validation sprints to build proof-of-concepts, create evaluation harnesses to measure accuracy, latency, and cost, and partner with product teams to harden prototypes for production release. Engineer for Scale: Architect and implement the underlying MLOps infrastructure, including model serving, automated testing, and observability, to ensure our AI services meet enterprise-grade SLAs. Drive Innovation: Research and vali

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.
Location

This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you're considering

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role
• Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
• Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
• Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
• Build and manage test data pipelines for diverse applications and environments.
• Create and maintain CI/CD pipelines to support continuous testing and deployment.
• Identify and resolve environmental and data dependencies for comprehensive E2E testing.
• Lead defect triage, backlog grooming, and root cause analysis sessions.

Your skills and experience
• Around 1 year of experience working in or supporting AIbased testing environments, or strong interest with handson exposure through projects or coursework.
• Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript.
• Basic to intermediate experience with test automation t

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ledgent Technology, is seeking the following. Apply via Dice today!

No Corp-to-corp / No Third-Party Agencies**We're Hiring on behalf of our client for Lead Agentic AI Engineer**
Hybrid Onsite near Fullerton, CA
190,000 to 210,000 annual salary (DOE)

*:**
Full-Time, Direct Hire
*Lead AI Developer - Microsoft/.NET Platform (On Prem)**
.
Partnered with a client who is seeking Lead AI Developer to help shape the next generation of intelligent, production-grade AI inside a mission critical, on prem manufacturing platform.

They're looking for a senior AI engineer who can own architecture, hands on development, and technical leadership as they embed advanced

*agentic**
capabilities, secure tool ecosystems, and reliable LLM integrations across Microsoft-based stack.
*What You'll DoArchitect end to end AI capabilities within an on prem .NET environment (ASP.NET, services, SQL Server).Build a robust agent runtime that handles tool execution, task state, routing, retries, and safe boundaries.Integrate with hosted LLM providers using modern tool/function-calling patterns and quality guardrails.Develop and maintain secure MCP-style tool servers for SQL, internal APIs, and file/report systems.Implement human in the loop controls, auditability, secrets management, and least privilege access patterns.Drive observability across logs, metrics, tracing, and dashboards.Establish testing strategies spanning unit, integration, failure simulation, and contract testing.Provide architectural direction, mentorship, reviews, documentation, and golden-path patterns for future AI dev work.Support deployments, troubleshooting, and alignment of AI capabilities with product priorities.What You Bring7+ years building distributed, production systems (Ideally, in .NET/C# services).2 years with agentic AI architecture/integration experience in business environment (not personal projects).Stron

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

{"description": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates wor

• *About xAI**

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.

We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.

All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

Forward Deployed AI Engineers work directly with our end customers owning strategy and execution.

Your responsibilities look similar to that of a hands-on AI startup CTO: you’ll work in a small team to own delivery of high stakes projects with clients. A day’s work may include:
• Deliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software
• Benchmarking the model or help write evals for customers to identify model weaknesses
• Improve model performance by system prompt tuning or fine tuning models
• Analyze request logs or read through prompt data
• Build internal tooling to automate yourself out of the job
• Improving xAI SDKs or developer documentation based on customer feedback

Focus
• Strong passion for solving real-world business problems and delivering measurable impact through AI solutions.
• Proven track record of shipping high-quality code and successfully completing projects in challenging environments.
• Ability to navigate ambiguity and adapt to changing requirements and priorities in a fast-paced startup environment.
• Strong communication skills that will become

About the position

We are seeking an experienced LLM Engineer to join our client's newly established LLM Ops Team in their Raleigh, NC office. In this role, you will be responsible for managing the complex lifecycle of Large Language Models from development to deployment, monitoring, and continuous improvement.\n\nThis role is hybrid to the Raleigh, NC area.

Responsibilities

Fine-tune pre-trained models for specific use casesCurate and prepare datasets for trainingManage training infrastructure, resources, and computational environmentsImplement optimization techniques to improve model performanceDevelop and manage APIs for model servingScale infrastructure to handle varying demand loadsBuild and maintain the GenAI middleware/sidecar layerIntegrate LLMs with existing systems and data sourcesTrack performance metrics including latency and throughputMonitor quality metrics such as hallucination rates and accuracyOptimize costs associated with model inference and trainingCreate and maintain dashboards for real-time performance insightsCreate and maintain golden datasets for benchmark testingImplement statistical validation methods for model outputsSet up similarity matching criteria for response evaluationDevelop confidence score thresholds for production systemsDesign and implement user feedback collection systemsEstablish continuous improvement processesCreate A/B testing frameworks for model and feature evaluationConduct trace analysis to identify areas for performance optimizationImplement content moderation systemsDetect and mitigate bias in model outputsEnsure regulatory compliance in AI systemsDevelop output validation frameworksVersion and store prompts systematicallyCreate and maintain prompt templatesSet up playground environments for prompt testingAbstract prompts from application code for better maintainabilityRequirements

Experience with LLM development, fine-tuning, and deploymentStrong programming skills, particularly in PythonExperience with Kubeflo

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support A

Agentic AI Engineer
Enterprise Integrations, Intelligent Automation & AI Platform Delivery

Department: IT & Digital Transformation
Reports to: Sr. Director, Infrastructure & BI
Type: 6 month contract

Location: Remote - US

The Opportunity
Accuris Technologies is executing a company-wide AI transformation across 40+ initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. We have a funded roadmap, active enterprise AI licenses, and governed integrations already live across our core systems.

We are looking for an Agentic AI Engineer to lead technical delivery-building connectors, agents, and workflows that transform our CRM, ERP, HRIS, and data platforms into a unified, natural-language-driven experience. This role will bring our AI strategy to life through real, production-grade systems.

Core Responsibilities
• Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms
• Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation
• Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement
• Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards
• Implement governance frameworks including audit logging, data lineage, and PII protection
• Partner with business teams to translate workflows into AI-enabled solutions
• Drive adoption through reusable prompts, tools, and training for non-technical users

What We're Looking For
• 3+ years building API integrations with CRM, ERP, or HRIS systems
• Strong Python experience with LLM APIs and SDKs
• Experience with agentic architectures (tool use, function calling, multi-step workflows)
• Familiarity with AI frameworks (LangChain, MCP, or similar)
• Experience with OAuth, SSO/SAML, and enterprise authentication
• Background in data platforms, BI tools, and enterprise data gove

• *Straive**

is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.
• *Website: https://www.straive.com/ LinkedIn
• *Job Title: Senior Gen AI Engineer
• *Location: New Jersey- (Hybrid)
• *Type: Fulltime

As a Generative AI Engineer, you will design, develop, and deploy AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. You’ll be responsible for building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications.
• *Key Responsibilities:**

● Develop, fine-tune, and deploy LLM-based applications using frameworks like Senior Gen AI Engineer LangChain, Semantic Kernel, or LlamaIndex.

● Design and implement RAG pipelines using vect

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI soft

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software com