{"schemaVersion":"jobsearcher.job.v1","id":"4fe5a3b4700a79cd9ecd4b00","url":"https://jobsearcher.com/jobs/4fe5a3b4700a79cd9ecd4b00","canonicalUrl":"https://jobsearcher.com/jobs/4fe5a3b4700a79cd9ecd4b00","title":"Sr AI Solution Architect","description":"Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care.\n\nG.E.H.A has one mission: To empower federal workers to be healthy and well.\nAs the Senior AI Solution Architect within the Digital Innovation team, you will be the technical visionary responsible for designing, integrating, and scaling Artificial Intelligence and Machine Learning applications and solutions. While the AI Product Owner defines what we build for our members and business, you will define how we build, deploy, and manage AI application patterns securely.\nYou will lead the architectural design of scalable AI/ML solution patterns, enabling the rapid development of tools and applications, insights and reporting, Generative AI, and automation solutions. Operating at the intersection of AI engineering, solution strategy, and developer experience, you will ensure our AI solutions act as a force multiplier, are robust, HIPAA-compliant, and capable of supporting GEHA’s strategic modernization directives in collaboration with enterprise IT infrastructure, security and data teams.\nSKILLS\nDuties and Responsibilities:\nEnterprise AI Architecture\nDefine and maintain enterprise AI application reference architecture, including agent patterns, RAG pipelines, orchestration frameworks, and hosted innovation environments built on top of enterprise-provisioned cloud infrastructure.\nPartner to establish and inform MCP-based integration strategy, including promotion criteria, approved patterns, and lifecycle standards for AI-connected services.\nOwn the architectural blueprint for how AI capabilities are composed, exposed, and operationalized.\nDrive AI FinOps best practices by designing cost-effective LLM integration patterns, optimizing token usage, caching strategies, and managing compute resources across cloud environments in partnership with IT Ops.\nLead \"Build vs. Buy\" technical evaluations for AI capabilities, defining the architectural integration patterns for third-party AI SaaS tools versus internally hosted models.\nPlatform & Developer Experience\nHelps shape the AI developer experience end-to-end: golden paths, CI/CD templates, reference repositories, prompt libraries, and evaluation frameworks.\nEnsure that well-architected AI solutions are also the path of least resistance, reducing friction for teams adopting AI-native patterns.\nPrevent Digital Innovation from becoming a collection of bespoke, fragile implementations by establishing reusable, composable building blocks.\nLead the technical execution of rapid Proof of Concepts (PoCs) to validate emerging AI frameworks and architectural patterns before IT Ops handoff or enterprise-wide adoption.\nCross-Functional Enablement\nWork alongside core cloud platform and data & analytics teams as a peer and partner, shaping AI-layer decisions without owning underlying infrastructure.\nServe as the primary conduit between Digital Innovation and Security, IT Ops, and Compliance teams, translating AI application needs into governance-compatible designs.\nArchitect solutions that strictly adhere to healthcare compliance standards (e.g., HIPAA, HITRUST), ensuring secure handling, anonymization, and encryption of Protected Health Information (PHI) in AI workflows.\nEstablish technical guardrails for AI Governance, including mechanisms for model explainability, hallucination mitigation, and algorithmic bias detection.\nCollaborate with senior leadership to align AI application investments with organizational strategy and enterprise risk posture.\nTechnical Leadership & Community\nFunction as a technical authority across AI domains: LLM integration, agentic systems, vector search, model evaluation, and AI observability.\nMentor engineers and architects in AI-native design patterns, responsible AI practices, and reusable/composable thinking.\nStay at the leading edge of the AI ecosystem: evaluating emerging tools, frameworks, and standards (e.g., MCP, LangGraph, emerging agent protocols) and translating them into actionable guidance.\nKnowledge, Skills, and Abilities:\nAccredited degree in Computer Science, Information Systems, Computer Engineering, or a closely related field, or equivalent experience.\n5+ years of software engineering experience required, with demonstrated progression into architecture or platform-related responsiblities.\n3+ years of hands-on experience with AI/ML systems, including LLM integration, RAG architectures, and agentic workflows.\nDeep familiarity with AI orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen) and emerging agent interoperability standards such as MCP.\nStrong knowledge of vector databases and semantic search (e.g., Pinecone, pgvector, Weaviate, Azure AI Search).\nExperience designing and publishing reusable engineering patterns, reference architectures, and golden-path templates at an enterprise scale.\nStrong multi-cloud fluency across GCP, AWS, and Azure, particularly AI/ML platform services (Vertex AI (Google Enterprise), Bedrock, Azure OpenAI).\nDemonstrated experience with CI/CD pipelines, DevOps tooling, and platform engineering principles.\nExperience working with Security, IT Ops, and Compliance stakeholders to translate architectural decisions into governance-compatible implementations handling sensitive data (HIPAA/PHI).\nHealthcare industry experience strongly preferred.\nPreferred Qualifications\nExperience with Model Context Protocol (MCP) server design, hosted tooling environments, or AI gateway patterns.\nFamiliarity with AI evaluation frameworks, prompt management systems, and AI observability tooling.\nBackground in developer experience (DX) design: inner-loop tooling, SDK design, or developer portal strategy.\nWork-at-home requirements\nMust have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office.\nA minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required.\nLatency (ping) response time lower than 80 ms\nHotspots, satellite and wireless internet service is NOT allowed for this role.\nA dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information\nHow we value you\nCompetitive pay/salary ranges\nIncentive plan\nHealth/Vision/Dental benefits effective day one\n401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution\nRobust employee well-being program\nPaid Time Off\nPersonal Community Enrichment Time\nCompany-provided Basic Life and AD&D\nCompany-provided Short-Term & Long-Term Disability\nTuition Assistance Program\nWhile this is a remote opportunity, at this time G.E.H.A does not hire employees from U.S. territories or the following states: Alaska, Hawaii, California, Washington, Oregon, Colorado, Wyoming, Montana, New York, Connecticut, Vermont, Pennsylvania, Maine.\nPlease note that the salary information is a general guideline only. G.E.H.A considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.\nThe target hiring range for this position is $138,859 - $175,665 USD. At G.E.H.A, the current maximum salary for this role is $195,741 USD. While initial compensation may vary based on experience and qualifications, there is a path to work toward this top rate through performance and continued growth within the organization.\nG.E.H.A is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law. G.E.H.A will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees.\nG.E.H.A is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.","company":"Geha","rawCompany":"geha","city":"Arnold","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:40:28.837Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr AI Solution Architect","description":"Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care.\n\nG.E.H.A has one mission: To empower federal workers to be healthy and well.\nAs the Senior AI Solution Architect within the Digital Innovation team, you will be the technical visionary responsible for designing, integrating, and scaling Artificial Intelligence and Machine Learning applications and solutions. While the AI Product Owner defines what we build for our members and business, you will define how we build, deploy, and manage AI application patterns securely.\nYou will lead the architectural design of scalable AI/ML solution patterns, enabling the rapid development of tools and applications, insights and reporting, Generative AI, and automation solutions. Operating at the intersection of AI engineering, solution strategy, and developer experience, you will ensure our AI solutions act as a force multiplier, are robust, HIPAA-compliant, and capable of supporting GEHA’s strategic modernization directives in collaboration with enterprise IT infrastructure, security and data teams.\nSKILLS\nDuties and Responsibilities:\nEnterprise AI Architecture\nDefine and maintain enterprise AI application reference architecture, including agent patterns, RAG pipelines, orchestration frameworks, and hosted innovation environments built on top of enterprise-provisioned cloud infrastructure.\nPartner to establish and inform MCP-based integration strategy, including promotion criteria, approved patterns, and lifecycle standards for AI-connected services.\nOwn the architectural blueprint for how AI capabilities are composed, exposed, and operationalized.\nDrive AI FinOps best practices by designing cost-effective LLM integration patterns, optimizing token usage, caching strategies, and managing compute resources across cloud environments in partnership with IT Ops.\nLead \"Build vs. Buy\" technical evaluations for AI capabilities, defining the architectural integration patterns for third-party AI SaaS tools versus internally hosted models.\nPlatform & Developer Experience\nHelps shape the AI developer experience end-to-end: golden paths, CI/CD templates, reference repositories, prompt libraries, and evaluation frameworks.\nEnsure that well-architected AI solutions are also the path of least resistance, reducing friction for teams adopting AI-native patterns.\nPrevent Digital Innovation from becoming a collection of bespoke, fragile implementations by establishing reusable, composable building blocks.\nLead the technical execution of rapid Proof of Concepts (PoCs) to validate emerging AI frameworks and architectural patterns before IT Ops handoff or enterprise-wide adoption.\nCross-Functional Enablement\nWork alongside core cloud platform and data & analytics teams as a peer and partner, shaping AI-layer decisions without owning underlying infrastructure.\nServe as the primary conduit between Digital Innovation and Security, IT Ops, and Compliance teams, translating AI application needs into governance-compatible designs.\nArchitect solutions that strictly adhere to healthcare compliance standards (e.g., HIPAA, HITRUST), ensuring secure handling, anonymization, and encryption of Protected Health Information (PHI) in AI workflows.\nEstablish technical guardrails for AI Governance, including mechanisms for model explainability, hallucination mitigation, and algorithmic bias detection.\nCollaborate with senior leadership to align AI application investments with organizational strategy and enterprise risk posture.\nTechnical Leadership & Community\nFunction as a technical authority across AI domains: LLM integration, agentic systems, vector search, model evaluation, and AI observability.\nMentor engineers and architects in AI-native design patterns, responsible AI practices, and reusable/composable thinking.\nStay at the leading edge of the AI ecosystem: evaluating emerging tools, frameworks, and standards (e.g., MCP, LangGraph, emerging agent protocols) and translating them into actionable guidance.\nKnowledge, Skills, and Abilities:\nAccredited degree in Computer Science, Information Systems, Computer Engineering, or a closely related field, or equivalent experience.\n5+ years of software engineering experience required, with demonstrated progression into architecture or platform-related responsiblities.\n3+ years of hands-on experience with AI/ML systems, including LLM integration, RAG architectures, and agentic workflows.\nDeep familiarity with AI orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen) and emerging agent interoperability standards such as MCP.\nStrong knowledge of vector databases and semantic search (e.g., Pinecone, pgvector, Weaviate, Azure AI Search).\nExperience designing and publishing reusable engineering patterns, reference architectures, and golden-path templates at an enterprise scale.\nStrong multi-cloud fluency across GCP, AWS, and Azure, particularly AI/ML platform services (Vertex AI (Google Enterprise), Bedrock, Azure OpenAI).\nDemonstrated experience with CI/CD pipelines, DevOps tooling, and platform engineering principles.\nExperience working with Security, IT Ops, and Compliance stakeholders to translate architectural decisions into governance-compatible implementations handling sensitive data (HIPAA/PHI).\nHealthcare industry experience strongly preferred.\nPreferred Qualifications\nExperience with Model Context Protocol (MCP) server design, hosted tooling environments, or AI gateway patterns.\nFamiliarity with AI evaluation frameworks, prompt management systems, and AI observability tooling.\nBackground in developer experience (DX) design: inner-loop tooling, SDK design, or developer portal strategy.\nWork-at-home requirements\nMust have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office.\nA minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required.\nLatency (ping) response time lower than 80 ms\nHotspots, satellite and wireless internet service is NOT allowed for this role.\nA dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information\nHow we value you\nCompetitive pay/salary ranges\nIncentive plan\nHealth/Vision/Dental benefits effective day one\n401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution\nRobust employee well-being program\nPaid Time Off\nPersonal Community Enrichment Time\nCompany-provided Basic Life and AD&D\nCompany-provided Short-Term & Long-Term Disability\nTuition Assistance Program\nWhile this is a remote opportunity, at this time G.E.H.A does not hire employees from U.S. territories or the following states: Alaska, Hawaii, California, Washington, Oregon, Colorado, Wyoming, Montana, New York, Connecticut, Vermont, Pennsylvania, Maine.\nPlease note that the salary information is a general guideline only. G.E.H.A considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.\nThe target hiring range for this position is $138,859 - $175,665 USD. At G.E.H.A, the current maximum salary for this role is $195,741 USD. While initial compensation may vary based on experience and qualifications, there is a path to work toward this top rate through performance and continued growth within the organization.\nG.E.H.A is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law. G.E.H.A will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees.\nG.E.H.A is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.","datePosted":"2026-08-19T16:40:28.837Z","dateModified":"2026-08-19T16:40:28.837Z","hiringOrganization":{"@type":"Organization","name":"Geha","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arnold","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4fe5a3b4700a79cd9ecd4b00"},"url":"https://jobsearcher.com/jobs/4fe5a3b4700a79cd9ecd4b00"}}