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Senior AI Engineer - Agentic AI Platform

Hudson IT

Cincinnati, Ohio • Today

Full-time

USD 55.00 - 60.00 per hour

Senior AI Engineer - Agentic

Podium

Remote or Lehi, Utah • Today

Full-time

Senior AI Engineer, Agentic and RAG Systems

EPAM Systems

Remote • Today

Full-time

Senior GenAI & Agentic AI Platform Engineer

HMG America

Remote • Today

Easy Apply

Full-time

$DOE

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • Yesterday

Easy Apply

Full-time

Depends on Experience

Senior Agentic AI Developer

Fusion Global Solutions

Remote • 6d ago

Easy Apply

Full-time, Third Party

Depends on Experience

Senior Agentic AI Developer

InfoVision, Inc.

Remote • 6d ago

Easy Apply

Contract

70 - 75

Senior AI Engineer

INSPYR Solutions

Remote • 12d ago

Easy Apply

Contract, Third Party

$80 - $90

Senior AI Engineer

ISOFT

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

Senior AI Engineer

Cotiviti

Remote • Today

Full-time

USD 128,000.00 - 164,000.00 per year

Senior AI Engineer

The Chemours Company

Remote • Today

Full-time

USD 126,067.00 - 196,980.00 per year

Senior AI Engineer

Crate and Barrel

Remote or Illinois • Today

Full-time

Sr. Staff Software Engineer, Big Data Platform

Pinterest, Inc.

Remote or Palo Alto, California • Today

Full-time

Senior Machine Learning Engineer, Digital Twin Platform

Instacart

Remote • Today

Full-time

USD 240,000.00 - 253,500.00 per year

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Contract, Third Party

Sr. AI Engineer - Remote or Hybrid in Eden Prairie, MN

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior AI Engineer

ServiceTitan

Remote or Glendale, California • Today

Full-time

Compensation information provided in the description

Senior AI Engineer

GitLab

Remote • Today

Full-time

USD 108,400.00 - 129,600.00 per year

Senior AI Engineer

EPAM Systems

Remote • Today

Full-time

Sr AI ML/Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Sr Data Scientist - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior Software Development Engineer - LLMs, GenAI

CVS Health

Remote or New York, New York • Today

Full-time

USD 92,700.00 - 203,940.00 per year

Senior Systems Engineer, Data Management

Dell Technologies

Remote or North Carolina • Today

Full-time

Sr. Manager Data Science - Gen AI and Content Systems

Reed Elsevier Technology Services

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Sr. Manager Data Science - Gen AI and Content Systems

LexisNexis

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Bellevue, Washington • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior ML Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Job Details

Skills

Cloud Computing
Use Cases
React.js
Authentication
Authorization
Auditing
Onboarding
Lifecycle Management
Communication
Message Queues
Caching
Collaboration
Reasoning
Reporting
Capacity Management
Dashboard
Data Masking
Regulatory Compliance
Business Data
Prompt Engineering
Optimization
Software Engineering
Machine Learning (ML)
Generative Artificial Intelligence (AI)
LangChain
Python
Orchestration
Workflow
Management
API
API Management
Messaging
Data Storage
Cosmos-Db
PostgreSQL
MongoDB
Vector Databases
SQL
Semantics
Microsoft Certified Professional
C#
.NET
Apache Kafka
GRID
Microsoft Azure
Neo4j
Amazon Neptune
Graph Databases
Ontologies
Artificial Intelligence
Evaluation
Benchmarking
Amazon Web Services
Google Cloud
Google Cloud Platform
Health Care
Financial Services
Insurance

Cloud Computing
Use Cases
React.js
Authentication
Authorization
Auditing
Onboarding
Lifecycle Management
Communication
Message Queues
Caching
Collaboration
Reasoning
Reporting
Capacity Management
Dashboard
Data Masking
Regulatory Compliance
Business Data
Prompt Engineering
Optimization
Software Engineering
Machine Learning (ML)
Generative Artificial Intelligence (AI)
LangChain
Python
Orchestration
Workflow
Management
API
API Management
Messaging
Data Storage
Cosmos-Db
PostgreSQL
MongoDB
Vector Databases
SQL
Semantics
Microsoft Certified Professional
C#
.NET
Apache Kafka
GRID
Microsoft Azure
Neo4j
Amazon Neptune
Graph Databases
Ontologies
Artificial Intelligence
Evaluation
Benchmarking
Amazon Web Services
Google Cloud
Google Cloud Platform
Health Care
Financial Services
Insurance

Summary

Role Overview

We are seeking a Senior AI Engineer - Agentic AI Platform to design and build enterprise-scale Agentic AI platforms that enable multiple business domains to develop, deploy, monitor, govern, and operate autonomous AI agents.

This role requires strong hands-on experience in Agentic AI, multi-agent orchestration, AI platform architecture, model governance, memory management, observability, cost attribution, and cloud-native AI solutions.

The ideal candidate will have production experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, Python, Azure, vector databases, API gateways, and enterprise AI engineering practices.

Key Responsibilities

Agentic AI Development

Design and develop sophisticated multi-agent AI systems for enterprise use cases.
Build autonomous and semi-autonomous AI workflows.
Implement Supervisor-Worker, Sequential, ReAct, Planner-Executor, Writer-Critic, orchestration, and choreography patterns.
Develop scalable agent communication and execution frameworks.
Build closed-loop workflows with validation, retry, evaluation, and feedback mechanisms.

Enterprise AI Platform Engineering

Build reusable AI platform capabilities for multiple business teams.
Design enterprise AI governance and operational controls.
Develop API-driven AI services supporting rate limiting, quota management, authentication, authorization, audit logging, multi-tenant usage tracking, and cost attribution.
Establish agent onboarding and lifecycle management capabilities.

Multi-Agent Orchestration

Design agent communication using direct calls, event-driven architectures, message queues, and publish-subscribe patterns.
Implement orchestration and choreography-based execution models.
Work with Kafka, Azure Service Bus, Azure Durable Functions, and event-driven workflows.

AI Memory & Knowledge Systems

Design short-term and long-term AI memory architectures.
Implement vector databases, semantic caching, conversation memory, agent state persistence, and RAG.
Build knowledge orchestration frameworks supporting agent collaboration.

Ontology & Knowledge Graphs

Work with graph databases and enterprise knowledge models.
Support ontology-driven AI applications.
Build knowledge graphs for relationship-based reasoning.
Integrate structured, unstructured, and graph-based knowledge sources.

AI Governance & FinOps

Implement AI consumption governance across business domains.
Track token usage, model consumption, API utilization, and operational costs.
Develop chargeback/showback mechanisms.
Support AI FinOps reporting and capacity planning.

Reliability & Observability

Design observability frameworks for AI applications.
Monitor agent execution, tool usage, latency, hallucinations, failure rates, and model quality.
Build dashboards and operational metrics for AI workloads.

Responsible AI & Security

Implement guardrails, safety controls, prompt protection, data masking, PII protection, and human-in-the-loop validation.
Ensure compliance with enterprise security and governance requirements.
Build secure Agentic AI systems handling sensitive business data.

AI Evaluation & Optimization

Develop agent and tool evaluation frameworks.
Measure response quality and detect hallucinations.
Implement closed-loop evaluation mechanisms.
Apply context engineering, prompt engineering, retrieval optimization, agent tuning, and AI benchmarking.

Mandatory Qualifications

8-10 years of software engineering or platform engineering experience.
3+ years of hands-on AI/ML or Generative AI experience.
Production experience building enterprise-scale AI applications.
Strong experience designing AI architectures and platforms, not only individual AI applications.
Hands-on experience with Agentic AI / AI Agents.
Strong experience with Azure.
Hands-on experience with Azure AI Foundry.
Hands-on experience with Azure OpenAI.
Strong experience with LangChain and/or LangGraph.
Strong Python development experience.
Experience with multi-agent orchestration and agentic workflow patterns.
Experience with RAG, vector databases, AI memory, and agent state management.
Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
Experience with event-driven architectures and messaging systems.
Experience with AI monitoring, observability, governance, and cost/token usage tracking.
Experience working with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
Experience with SQL.
Experience designing scalable, secure, and governed AI platforms.

Desirable Skills

Semantic Kernel
Model Context Protocol (MCP)
C# / .NET
Kafka
Azure Service Bus
Azure Event Grid
Azure Durable Functions
Neo4j, Stardog, Amazon Neptune, or other graph databases
Enterprise knowledge graphs
Ontology-driven AI solutions
AI FinOps and chargeback/showback
Responsible AI frameworks
AI evaluation and benchmarking
AWS or Google Cloud Platform
Experience in healthcare, financial services, insurance, or other regulated industries

Mandatory Qualifications

8-10 years of software engineering or platform engineering experience.
3+ years of hands-on AI/ML or Generative AI experience.
Production experience building enterprise-scale AI applications.
Strong experience designing AI architectures and platforms, not only individual AI applications.
Hands-on experience with Agentic AI / AI Agents.
Strong experience with Azure.
Hands-on experience with Azure AI Foundry.
Hands-on experience with Azure OpenAI.
Strong experience with LangChain and/or LangGraph.
Strong Python development experience.
Experience with multi-agent orchestration and agentic workflow patterns.
Experience with RAG, vector databases, AI memory, and agent state management.
Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
Experience with event-driven architectures and messaging systems.
Experience with AI monitoring, observability, governance, and cost/token usage tracking.
Experience working with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
Experience with SQL.
Experience designing scalable, secure, and governed AI platforms.

Desirable Skills

Semantic Kernel
Model Context Protocol (MCP)
C# / .NET
Kafka
Azure Service Bus
Azure Event Grid
Azure Durable Functions
Neo4j, Stardog, Amazon Neptune, or other graph databases
Enterprise knowledge graphs
Ontology-driven AI solutions
AI FinOps and chargeback/showback
Responsible AI frameworks
AI evaluation and benchmarking
AWS or Google Cloud Platform
Experience in healthcare, financial services, insurance, or other regulated industries

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91134517
Position Id: a0786e8733810f8a24aecca8af11c2c8
Posted 3 days ago

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Senior GenAI & Agentic AI Platform Engineer

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Principal AI Engineer

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Overview We are seeking a highly experienced Principal AI Engineer to lead the architecture, design, and development of a cutting-edge agentic framework and centralized AI platform that serves as the foundation for the organization's AI initiatives. As the technical lead for the Risk Adjustment (RA) Coding Agent, you will own the end-to-end technical architecture-from clinical NLP integration and production routing to core AI platform components that enable scalable, secure, and compliant AI so

Full-time

USD 208,000.00 - 260,000.00 per year

Job Details

Skills

Cloud Computing
Use Cases
React.js
Authentication
Authorization
Auditing
Onboarding
Lifecycle Management
Communication
Message Queues
Caching
Collaboration
Reasoning
Reporting
Capacity Management
Dashboard
Data Masking
Regulatory Compliance
Business Data
Prompt Engineering
Optimization
Software Engineering
Machine Learning (ML)
Generative Artificial Intelligence (AI)
LangChain
Python
Orchestration
Workflow
Management
API
API Management
Messaging
Data Storage
Cosmos-Db
PostgreSQL
MongoDB
Vector Databases
SQL
Semantics
Microsoft Certified Professional
C#
.NET
Apache Kafka
GRID
Microsoft Azure
Neo4j
Amazon Neptune
Graph Databases
Ontologies
Artificial Intelligence
Evaluation
Benchmarking
Amazon Web Services
Google Cloud
Google Cloud Platform
Health Care
Financial Services
Insurance

Cloud Computing
Use Cases
React.js
Authentication
Authorization
Auditing
Onboarding
Lifecycle Management
Communication
Message Queues
Caching
Collaboration
Reasoning
Reporting
Capacity Management
Dashboard
Data Masking
Regulatory Compliance
Business Data
Prompt Engineering
Optimization
Software Engineering
Machine Learning (ML)
Generative Artificial Intelligence (AI)
LangChain
Python
Orchestration
Workflow
Management
API
API Management
Messaging
Data Storage
Cosmos-Db
PostgreSQL
MongoDB
Vector Databases
SQL
Semantics
Microsoft Certified Professional
C#
.NET
Apache Kafka
GRID
Microsoft Azure
Neo4j
Amazon Neptune
Graph Databases
Ontologies
Artificial Intelligence
Evaluation
Benchmarking
Amazon Web Services
Google Cloud
Google Cloud Platform
Health Care
Financial Services
Insurance

Summary

Design and develop sophisticated multi-agent AI systems for enterprise use cases.
Build autonomous and semi-autonomous AI workflows.
Implement Supervisor-Worker, Sequential, ReAct, Planner-Executor, Writer-Critic, orchestration, and choreography patterns.
Develop scalable agent communication and execution frameworks.
Build closed-loop workflows with validation, retry, evaluation, and feedback mechanisms.

Enterprise AI Platform Engineering

Build reusable AI platform capabilities for multiple business teams.
Design enterprise AI governance and operational controls.
Develop API-driven AI services supporting rate limiting, quota management, authentication, authorization, audit logging, multi-tenant usage tracking, and cost attribution.
Establish agent onboarding and lifecycle management capabilities.

Multi-Agent Orchestration

Design agent communication using direct calls, event-driven architectures, message queues, and publish-subscribe patterns.
Implement orchestration and choreography-based execution models.
Work with Kafka, Azure Service Bus, Azure Durable Functions, and event-driven workflows.

AI Memory & Knowledge Systems

Design short-term and long-term AI memory architectures.
Implement vector databases, semantic caching, conversation memory, agent state persistence, and RAG.
Build knowledge orchestration frameworks supporting agent collaboration.

Ontology & Knowledge Graphs

Work with graph databases and enterprise knowledge models.
Support ontology-driven AI applications.
Build knowledge graphs for relationship-based reasoning.
Integrate structured, unstructured, and graph-based knowledge sources.

AI Governance & FinOps

Implement AI consumption governance across business domains.
Track token usage, model consumption, API utilization, and operational costs.
Develop chargeback/showback mechanisms.
Support AI FinOps reporting and capacity planning.

Reliability & Observability

Design observability frameworks for AI applications.
Monitor agent execution, tool usage, latency, hallucinations, failure rates, and model quality.
Build dashboards and operational metrics for AI workloads.

Responsible AI & Security

Implement guardrails, safety controls, prompt protection, data masking, PII protection, and human-in-the-loop validation.
Ensure compliance with enterprise security and governance requirements.
Build secure Agentic AI systems handling sensitive business data.

AI Evaluation & Optimization

Develop agent and tool evaluation frameworks.
Measure response quality and detect hallucinations.
Implement closed-loop evaluation mechanisms.
Apply context engineering, prompt engineering, retrieval optimization, agent tuning, and AI benchmarking.

Mandatory Qualifications

8-10 years of software engineering or platform engineering experience.
3+ years of hands-on AI/ML or Generative AI experience.
Production experience building enterprise-scale AI applications.
Strong experience designing AI architectures and platforms, not only individual AI applications.
Hands-on experience with Agentic AI / AI Agents.
Strong experience with Azure.
Hands-on experience with Azure AI Foundry.
Hands-on experience with Azure OpenAI.
Strong experience with LangChain and/or LangGraph.
Strong Python development experience.
Experience with multi-agent orchestration and agentic workflow patterns.
Experience with RAG, vector databases, AI memory, and agent state management.
Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
Experience with event-driven architectures and messaging systems.
Experience with AI monitoring, observability, governance, and cost/token usage tracking.
Experience working with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
Experience with SQL.
Experience designing scalable, secure, and governed AI platforms.

Desirable Skills

Semantic Kernel
Model Context Protocol (MCP)
C# / .NET
Kafka
Azure Service Bus
Azure Event Grid
Azure Durable Functions
Neo4j, Stardog, Amazon Neptune, or other graph databases
Enterprise knowledge graphs
Ontology-driven AI solutions
AI FinOps and chargeback/showback
Responsible AI frameworks
AI evaluation and benchmarking
AWS or Google Cloud Platform
Experience in healthcare, financial services, insurance, or other regulated industries

Mandatory Qualifications

8-10 years of software engineering or platform engineering experience.
3+ years of hands-on AI/ML or Generative AI experience.
Production experience building enterprise-scale AI applications.
Strong experience designing AI architectures and platforms, not only individual AI applications.
Hands-on experience with Agentic AI / AI Agents.
Strong experience with Azure.
Hands-on experience with Azure AI Foundry.
Hands-on experience with Azure OpenAI.
Strong experience with LangChain and/or LangGraph.
Strong Python development experience.
Experience with multi-agent orchestration and agentic workflow patterns.
Experience with RAG, vector databases, AI memory, and agent state management.
Experience with REST APIs and API gateways, preferably Azure API Management (APIM).
Experience with event-driven architectures and messaging systems.
Experience with AI monitoring, observability, governance, and cost/token usage tracking.
Experience working with enterprise data/storage technologies such as Cosmos DB, PostgreSQL, MongoDB, or vector databases.
Experience with SQL.
Experience designing scalable, secure, and governed AI platforms.

Desirable Skills

Semantic Kernel
Model Context Protocol (MCP)
C# / .NET
Kafka
Azure Service Bus
Azure Event Grid
Azure Durable Functions
Neo4j, Stardog, Amazon Neptune, or other graph databases
Enterprise knowledge graphs
Ontology-driven AI solutions
AI FinOps and chargeback/showback
Responsible AI frameworks
AI evaluation and benchmarking
AWS or Google Cloud Platform
Experience in healthcare, financial services, insurance, or other regulated industries

Dice Id: 91134517
Position Id: a0786e8733810f8a24aecca8af11c2c8
Posted 3 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Lead AI Architect (Onsite - Hybrid)

Cincinnati, Ohio

•

Today

Full-time

Senior AI/ML Engineer Generative AI

Mason, Ohio

•

13d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior GenAI & Agentic AI Platform Engineer

Remote

•

Today

Easy Apply

Full-time

$DOE

Principal AI Engineer

Remote

•

Today

Full-time

USD 208,000.00 - 260,000.00 per year