Senior AI Solution Architect

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🔥 15 minutes ago

🏰 Missouri – Remote

🏰 Missouri – Remote

💵 $138.9k - $175.7k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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GEHA Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1937

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

GEHA Health is a large benefits association dedicated to serving federal employees, retirees, and their families. Founded by postal workers in 1937, GEHA offers a comprehensive range of health and dental plans, including FEHB and PSHB options, as well as additional benefits such as gym memberships, vision benefits, and wellness rewards. With a network of 1. 7 million providers nationwide and extensive prescription drug coverage, GEHA prioritizes reinvesting profits to enhance member experiences and support federal workforce health. Their plans include Medicare Advantage options and a robust telehealth offering, ensuring their members receive the best possible care and coverage.

📋 Description

• Define 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. • Partner to establish and inform MCP-based integration strategy, including promotion criteria, approved patterns, and lifecycle standards for AI-connected services. • Own the architectural blueprint for how AI capabilities are composed, exposed, and operationalized. • Drive 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. • Lead "Build vs. Buy" technical evaluations for AI capabilities, defining the architectural integration patterns for third-party AI SaaS tools versus internally hosted models. • Help shape the AI developer experience end-to-end: golden paths, CI/CD templates, reference repositories, prompt libraries, and evaluation frameworks. • Ensure that well-architected AI solutions are also the path of least resistance, reducing friction for teams adopting AI-native patterns. • Prevent Digital Innovation from becoming a collection of bespoke, fragile implementations by establishing reusable, composable building blocks. • Lead 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. • Work alongside core cloud platform and data & analytics teams as a peer and partner, shaping AI-layer decisions without owning underlying infrastructure. • Serve as the primary conduit between Digital Innovation and Security, IT Ops, and Compliance teams, translating AI application needs into governance-compatible designs. • Architect 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. • Establish technical guardrails for AI Governance, including mechanisms for model explainability, hallucination mitigation, and algorithmic bias detection. • Collaborate with senior leadership to align AI application investments with organizational strategy and enterprise risk posture. • Function as a technical authority across AI domains: LLM integration, agentic systems, vector search, model evaluation, and AI observability. • Mentor engineers and architects in AI-native design patterns, responsible AI practices, and reusable/composable thinking.

🎯 Requirements

• Accredited degree in Computer Science, Information Systems, Computer Engineering, or a closely related field, or equivalent experience. • 5+ years of software engineering experience required, with demonstrated progression into architecture or platform-related responsibilities. • 3+ years of hands-on experience with AI/ML systems, including LLM integration, RAG architectures, and agentic workflows. • Deep familiarity with AI orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen) and emerging agent interoperability standards such as MCP. • Strong knowledge of vector databases and semantic search (e.g., Pinecone, pgvector, Weaviate, Azure AI Search). • Experience designing and publishing reusable engineering patterns, reference architectures, and golden-path templates at an enterprise scale. • Strong multi-cloud fluency across GCP, AWS, and Azure, particularly AI/ML platform services (Vertex AI (Google Enterprise), Bedrock, Azure OpenAI). • Demonstrated experience with CI/CD pipelines, DevOps tooling, and platform engineering principles. • Experience working with Security, IT Ops, and Compliance stakeholders to translate architectural decisions into governance-compatible implementations handling sensitive data (HIPAA/PHI). • Healthcare industry experience strongly preferred.

🏖️ Benefits

• Health/Vision/Dental benefits effective day one • 401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution • Robust employee well-being program • Paid Time Off • Personal Community Enrichment Time • Company-provided Basic Life and AD&D • Company-provided Short-Term & Long-Term Disability • Tuition Assistance Program