✦ Luna Orbit — AI & Machine Learning

Lead Architect , AI Solutions Architecture - EDDA

at Travelers

📍 3 Locations Hybrid 💰 $169K – $279K USD / year Posted April 16, 2026
Salary $169K – $279K USD / year
Type Full-Time
Experience lead
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

Lead the architecture of AI solutions that drive business value while maintaining ethical standards. Collaborate with technology and business leaders to design scalable AI systems, guide governance and risk controls, and align AI platform capabilities with enterprise needs.

  • Apply hands-on AI/ML, Generative AI, and Agentic AI expertise to architect scalable production-grade AI solutions across the enterprise
  • Consult with division and domain architects to drive architecture alignment and establish an enterprise AI solutions architecture practice
  • Align AI platform capabilities to business needs including LLM selection/routing, RAG pipelines, memory systems, and tool/function-calling patterns
  • Establish governance, risk, and control processes for safe, compliant AI deployments using EU AI Act, GDPR, NAIC, and NIST AI RMF
  • Track and communicate the evolving AI platform roadmap and surface competitive landscape insights

Own enterprise AI solutions architecture across AI/ML, Generative AI, and Agentic AI. Architect systems using LangChain, Strands, Crew AI, Model Context Protocol (MCP), Agent2Agent integration, LLM selection and routing, RAG pipelines, memory systems, and tool/function-calling patterns, with compliance informed by EU AI Act, GDPR, NAIC, and NIST AI RMF.

The ideal candidate is a lead-level AI solutions architect with hands-on expertise in AI/ML, Generative AI, and Agentic AI systems deployed in production. They have strong experience designing scalable architectures using LangChain, Crew AI, Model Context Protocol (MCP), and RAG pipelines, and they understand AI governance requirements across EU AI Act, GDPR, NAIC, and NIST AI RMF.

AI/MLGenerative AIAgentic AILangChainCrew AIModel Context Protocol (MCP)LLM selection and routingRAG pipelinestool/function-calling patternsgovernanceriskand control processesEU AI ActGDPRNIST AI RMFAI ethicsbias mitigation principles
Agent2Agent integrationStrands
LangChainStrandsCrew AIModel Context Protocol (MCP)Agent2AgentEU AI ActGDPRNAICNIST AI RMF
AI/MLGenerative AIAgentic AI systemsautonomous agent designmulti-agent orchestration frameworks (LangChainStrandsCrew AI)Model Context Protocol (MCP)Agent2Agent integrationLLM selection and routingRAG pipelinesmemory systemstool/function-calling patternsAI solutions architectureenterprise AI solutions architecture practicegovernanceriskand control processesEU AI ActGDPRNAICNIST AI RMFAI ethicsbias mitigation principlesfoundation modelsagentic frameworksemerging autonomous systems
AI/MLGenerative AIAgentic AIautonomous agent designmulti-agent orchestration frameworks (LangChainStrandsCrew AI)Model Context Protocol (MCP)Agent2Agent integrationLLM selection and routingRAG pipelinesmemory systemstool/function-calling patternsAI solutions architectureenterprise architecture practicegovernanceriskand control processesEU AI ActGDPRNAICNIST AI RMFAI ethicsbias mitigation principlesfoundation modelsagentic frameworksemerging autonomous systemsAI platform roadmap tracking and communicationenterprise AI deploymentsarchitecture alignment across lines of businessscalableproduction-grade AI solutions across the enterprise
collaborationarchitect AI systems with ethical standardsconsulting expertiseleadership with senior Technology and Business leaderscommunicationsurfacing insights and recommendationschampioning an enterprise AI solutions architecture practiceteam collaboration
Industry Insurance
Job Function Architect and govern enterprise AI solutions to enable scalable, responsible Generative AI and Agentic AI systems.
Role Subtype Solutions Architect
Tech Domains Amazon Web Services, Azure, Google Cloud Platform, Python, Java, Kubernetes, Docker
Lead ArchitectAI Solutions ArchitectureAI/MLGenerative AIAgentic AIautonomous agent designmulti-agent orchestration frameworksLangChainStrandsCrew AIModel Context Protocol (MCP)Agent2AgentLLM selection and routingRAG pipelinesmemory systemstool/function-calling patternsgovernanceriskand control processesEU AI ActGDPRNAICNIST AI RMFAI ethicsbias mitigation

Must demonstrate hands-on expertise in AI/ML, Generative AI, and Agentic AI systems, Must be able to work with LangChain, Model Context Protocol (MCP), and RAG pipelines

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