✦ Luna Orbit — AI & Machine Learning

Sr Applied AI/ML Engineer

at Hartford Financial Services Group

📍 6 Locations Hybrid 💰 $117K – $175K USD / year Posted March 14, 2026
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Position Details

Salary $117K – $175K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

About this role

This role involves designing and deploying advanced AI and ML systems, focusing on Generative and Agentic AI, multi-agent workflows, and scalable deployment to transform insurance processes.

Key Responsibilities

  • Develop AI/ML solutions
  • Build multi-agent workflows
  • Deploy AI systems
  • Collaborate on AI infrastructure
  • Innovate in Generative AI

Technical Overview

The technical environment includes LLM architectures, MLOps, multi-agent frameworks, and tools like A2A, A2UI, MCP, with a focus on AI system scalability and integration.

Ideal Candidate

The ideal candidate is a mid-level AI/ML engineer with 3+ years of experience in deploying Generative and Agentic AI systems, with strong knowledge of LLM architectures, multi-agent workflows, and MLOps practices. They should be collaborative, innovative, and capable of working in a hybrid environment.

Must-Have Skills

Experience in ML engineeringKnowledge of LLM architectureExperience with Generative AIExperience with multi-agent workflowsExperience with MLOpsHands-on experience with AI systems deployment

Nice-to-Have Skills

Experience with Agentic AI frameworksExperience with RAG systemsAdvanced context engineering techniquesExperience with AI SDKs and starter packsExperience with A2AA2UIMCP frameworks

Tools & Platforms

A2AAAIFA2UIMCPAI SDKsMulti-agent frameworks

Required Skills

ML EngineeringMLOpsLLM architectureGenerative AIAgentic AIMulti-agent workflowsAI deploymentAI systemsA2AA2UIMCP

Hard Skills

ML EngineeringMLOpsLLM architectureGenerative AIAgentic AIMulti-agent workflowsRemote Agent orchestrationTool callingHuman-in-the-loopEvaluation-driven developmentRubricsContext engineeringMulti-agent systemsA2AAAIFA2UIAgent skillsMCP

Soft Skills

CollaborationProblem-solvingInnovationTeamworkCommunication

Industry & Role

Industry Insurance
Job Function Engineer and deploy advanced AI/ML systems leveraging multi-agent and Generative AI frameworks
Role Subtype AI & Machine Learning Engineer
Tech Domains ML Engineering, MLOps, LLM architecture, Generative AI, Multi-agent workflows

Keywords for Your Resume

ML engineerAI engineerLLM architectureGenerative AIAgentic AIMulti-agent workflowsMLOpsAI systems deploymentA2AA2UIMCPAI SDKsRAG systemsContext engineeringMulti-agent systemsAI automationAI developmentAI integrationML engineeringLLM

Deal Breakers

Lack of experience with LLM or Generative AI, Less than 3 years experience, No experience with MLOps, Inability to work in hybrid environment, Lack of experience with multi-agent workflows

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