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AI Engineer (Generative AI / MLOps / AI Agents)

VDart IncWarren, NJ, United States
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Role: AI Engineer (Generative AI / MLOps / AI Agents) </b></p> <p><b>Location: Warren, NJ (Hybrid)</b></p> <p><b>Type: Contract</b></p> &...[internal_linking.show_more]

Gen AI / Agentic AI Lead

ITL USABridgewater, NJ, US
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Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RA...[internal_linking.show_more]

AI Sales Specialist (Generative AI)

PRIMUS Global ServicesAK, United States
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AI Sales Specialist (Generative AI) We have an immediate need for an AI Sales Specialist (Generative AI) with our client.This role focuses on driving revenue growth by positioning, selling, and ena...[internal_linking.show_more]

AI Engineer - Responsible AI

International Recruiting LLCCalifornia, California, .US
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Role: AI Engineer - Responsible AI.Location: Seattle, WA | Palo Alto, CA | Remote.Build the Future of Safe and Responsible AI.Are you an experienced AI engineer advancing the frontiers of AI safety...[internal_linking.show_more]

AI Engineer

AKIVA AIWashington, DC, US
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AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment.We build production-ready AI systems, intelligent infrastructure, and agenti...[internal_linking.show_more]

AI Architect Agentic & Generative AI

Select Minds LLCDallas, TX, US
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AI Architect Agentic & Generative AI .Work Type: Full-Time, Onsite .Location: Dallas, Texas .Work Auth : Must be authorized to work in the U.Domain: Enterprise AI / Agentic AI / AWS Bedrock.Compe...[internal_linking.show_more]

AI Engineer / Applied AI Developer

DATAMAXISFarmington Hills, Michigan, United States
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We are looking for an AI Engineer / Applied AI Developer.The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring c...[internal_linking.show_more]

AI Architect

Voya FinancialNJ, New Jersey
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We will do this together — with customers, partners and colleagues.We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities.The status quo is not ...[internal_linking.show_more]

AI/ML Engineer - Gen AI/Agentic AI

Acunor IncUnited States
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Job Title: AI / ML Engineer GenAI / Agentic AI Location: USA (Remote) Type: Contract Job Summary We are looking for an AI / ML Engineer with strong expertise in Machine Learning, Gen...[internal_linking.show_more]

AI Engineer / Senior AI Engineer

Blue MatterSouth San Francisco, CA, US
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Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry.We partner with clients to help them achieve commercial success across the lifecycle of their produ...[internal_linking.show_more]

AI Teacher

Athletes Global CorporationNew Cumberland, PA, US
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Athletes Global Corporation is seeking an AI Instructor!.Our participants will be introduced to our fun, interactive and engaging Artificial Intelligence class.We will spark their curiosity, develo...[internal_linking.show_more]

AI / AI Technology (General Application)

Impact Bridge ConsultingDallas, Texas, United States
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AI / AI Technology (General Application).We’re building an AI-powered platform that brings clarity, control, and confidence to one of the most complex areas of enterprise spend: purchased services ...[internal_linking.show_more]

AI Architect

CordovaOmaha, NE, United States
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We are seeking a highly skilled and experienced AI Innovator to join our dynamic team and lead the design and implementation of advanced AI solutions.As an AI Innovator, you will play a pivotal rol...[internal_linking.show_more]

AI Consultant

Headway tekSan Jose, CA, California, USA
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MsoNoSpacing">Position :- AI Consultant [internal_linking.show_more]

AI Engineer - AI Department

DESIGNLIBRO INCSan Jose, CA, US
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Petlibro is a design-thinking company creating products that nurture the intertwined lives of pets and their people.We launched with a philosophy that good design, in form and in function, can make...[internal_linking.show_more]

AI Integration Engineer (Java + AI)

OpenkyberMI, United States
[job_card.full_time] +1
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IBM Sterling OMS Developer Dearborn, MI - (prefer onsite may consider remote) Fulltime Permanent Position JOB DESCRIPTION : Target senior IBM Sterling OMS developers with strong hands-on experience...[internal_linking.show_more]

AI Engineer

Global Information TechnologyWashington, DC, USA
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Job Location: Washington, DC (Hybrid).Develop and deploy AI solutions using LLMs (OpenAI, Google).Build applications using LangChain, vector databases, and embeddings.Design and maintain cloud-base...[internal_linking.show_more]

AI Engineer - Responsible AI

Centific Global Solutions, Inc.Remote Work( USA)
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Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, s...[internal_linking.show_more]

AI Engineer

Search ServicesHouston, TX, US
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Our Client is a leading infrastructure solutions provider supporting critical projects across energy, utility, civil, and industrial markets nationwide.With a strong foundation built on expertise, ...[internal_linking.show_more]

AI Engineer (Generative AI / MLOps / AI Agents)

AI Engineer (Generative AI / MLOps / AI Agents)

VDart IncWarren, NJ, United States
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Role: AI Engineer (Generative AI / MLOps / AI Agents)

Location: Warren, NJ (Hybrid)

Type: Contract

Overview:

  • We are seeking a skilled and motivated AI Engineer (Mid-Level) to join Client USA on a contract basis. This role sits at the intersection of Generative AI, MLOps, and Intelligent Agent development - and is responsible for designing, building, and deploying AI-powered solutions that directly support our P&C insurance operations.
  • You will work closely with our data engineering, analytics, and business teams to deliver LLM-powered applications, automated AI agents, and production-ready ML pipelines across claims, underwriting, and actuarial domains. This is a hands-on, delivery-focused role for an engineer who is comfortable moving from architecture whiteboard to working code.

Key Responsibilities:

Generative AI & LLM Engineering:

  • Design, fine-tune, and deploy Large Language Models (LLMs) for insurance-specific use cases including document intelligence, claims summarization, policy interpretation, and underwriting Q&A.
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Azure AI Search, Pinecone, ChromaDB) to ground LLM outputs in enterprise knowledge bases.
  • Develop prompt engineering frameworks and systematic evaluation pipelines to ensure LLM output quality, consistency, and safety in regulated insurance contexts.
  • Integrate LLM capabilities with internal data platforms via LangChain, LlamaIndex, or Semantic Kernel.
  • Evaluate and benchmark foundational models (OpenAI GPT-4o, Azure OpenAI, Claude, Mistral, Llama) against insurance-specific tasks to guide platform selection.

AI Agents & Automation

  • Architect and implement autonomous AI agents capable of multi-step reasoning, tool use, and decision-making for workflows such as FNOL triage, claims routing, policy lookup, and compliance checks.
  • Build agentic frameworks using patterns such as ReAct, Chain-of-Thought, and Tool-Augmented Agents to handle complex, multi-turn insurance workflows.
  • Design human-in-the-loop (HITL) checkpoints and escalation logic to ensure AI agents operate within defined risk and compliance boundaries.
  • Integrate agents with internal APIs, data platforms, and enterprise systems using orchestration tools such as Azure Logic Apps, Apache Airflow, or Databricks Workflows.
  • Develop guardrails, monitoring, and audit logging for all deployed agents to meet regulatory and governance standards.

MLOps & Model Deployment

  • Build and maintain end-to-end MLOps pipelines covering model training, versioning, validation, deployment, and monitoring using MLflow, Azure ML, and Databricks.
  • Implement CI/CD pipelines for ML models using Azure DevOps or GitHub Actions, enabling reliable, repeatable model releases.
  • Deploy models as REST APIs or batch inference services on Azure Kubernetes Service (AKS) or Azure Container Apps, ensuring scalability and low-latency response.
  • Establish model monitoring frameworks to detect data drift, model degradation, and prediction anomalies in production.
  • Manage the model registry and lineage tracking to maintain governance and auditability of all AI assets.
  • Collaborate with data engineering teams to ensure feature pipelines are production-grade, versioned, and integrated with the Feature Store on Databricks or Azure ML.

Collaboration & Delivery

  • Work closely with business analysts, actuaries, underwriters, and claims professionals to translate domain requirements into AI solution designs.
  • Participate in Agile/Scrum ceremonies including sprint planning, standups, and retrospectives as an active delivery contributor.
  • Produce clear, well-structured technical documentation including solution designs, API specs, model cards, and deployment runbooks.
  • Mentor junior engineers and contribute to internal AI engineering best practices and standards.

Required Qualifications

Education:

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative field. Master's degree is a plus.

Experience

  • 3 5 years of professional experience in AI/ML engineering, with demonstrated delivery of production-grade AI systems.
  • Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
  • Proven experience implementing MLOps pipelines in cloud environments (Azure preferred).
  • Experience developing AI agents or automation workflows using agentic frameworks.
  • Prior experience in financial services, insurance, or regulated industries is strongly preferred.

Technical Skills

Generative AI & LLMs

  • OpenAI / Azure OpenAI (GPT-4o, GPT-4 Turbo), Claude, Mistral, or open-source LLMs (Llama 3, Falcon)
  • RAG architectures, vector search, embeddings (OpenAI, Cohere, SentenceTransformers)
  • LangChain, LlamaIndex, Semantic Kernel
  • Prompt engineering, few-shot learning, instruction tuning, RLHF concepts

AI Agents & Automation:

  • Agentic frameworks: ReAct, Tool-Augmented Agents, LangGraph, AutoGen, CrewAI
  • Workflow orchestration: Apache Airflow, Databricks Workflows, Azure Logic Apps
  • API design and integration: REST, GraphQL, Webhooks

MLOps & Model Serving

  • MLflow (experiment tracking, model registry, model serving)
  • Azure Machine Learning, Databricks AutoML & Feature Store
  • Docker, Kubernetes (AKS), Azure Container Apps
  • CI/CD: Azure DevOps, GitHub Actions
  • Model monitoring: Evidently AI, Azure ML monitoring, or equivalent

Programming & Data Engineering

  • Python (expert level): PyTorch, Hugging Face Transformers, scikit-learn, Pandas, NumPy
  • PySpark and Delta Lake for large-scale data processing
  • SQL (T-SQL / Spark SQL) for feature engineering and data validation
  • Git for version control and collaborative development

Cloud & Platform

  • Microsoft Azure (Azure OpenAI, Azure AI Search, AKS, Azure Data Factory, Azure Key Vault)
  • Databricks (Unity Catalog, Delta Live Tables, Workflows)
  • Microsoft Fabric / OneLake (familiarity a strong plus)

Preferred Qualifications

  • Experience with P&C insurance workflows such as FNOL processing, claims triage, underwriting decisioning, or actuarial modeling.
  • Familiarity with insurance regulatory requirements including NAIC guidelines and data privacy standards (CCPA, GDPR).
  • Experience implementing responsible AI principles - fairness, explainability, and bias mitigation - in regulated environments.
  • Microsoft certifications: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100) preferred.
  • Exposure to Data Mesh patterns and publishing AI model outputs as domain data products.
  • Familiarity with Databricks Model Serving and Mosaic AI capabilities.