Sr AI Solution Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr AI Solution Architect (AI): Designing, integrating, and scaling AI and ML application patterns, including RAG pipelines and agentic systems, with an accent on security, HIPAA compliance, and developer experience. Focus on establishing enterprise AI reference architectures, optimizing LLM FinOps, and building reusable engineering patterns to accelerate AI adoption.
Location: Remote (US). Must be based in the USA. Hiring is not available for candidates in Alaska, Hawaii, California, Washington, Oregon, Colorado, Wyoming, Montana, New York, Connecticut, Vermont, Pennsylvania, or Maine.
Salary: $138,859 - $175,665 (Target), up to $195,741 (Maximum)
Company
is a nonprofit member association providing comprehensive health and dental benefits to millions of federal employees and retirees.
What you will do
- Define and maintain enterprise AI reference architectures, including agent patterns, RAG pipelines, and orchestration frameworks.
- Lead "Build vs. Buy" evaluations for AI capabilities and design architectural integration patterns for SaaS and internally hosted models.
- Shape the end-to-end AI developer experience by creating golden paths, CI/CD templates, and prompt libraries.
- Drive AI FinOps by optimizing token usage, caching strategies, and compute resources across multi-cloud environments.
- Architect solutions adhering to healthcare compliance standards, ensuring secure handling of Protected Health Information (PHI) under HIPAA and HITRUST.
- Lead rapid Proof of Concepts (PoCs) to validate emerging AI frameworks before enterprise-wide adoption.
Requirements
- Must be based in the United States (excluding restricted states).
- 5+ years of software engineering experience with progression into architecture or platform roles.
- 3+ years of hands-on experience with AI/ML systems, specifically LLM integration, RAG, and agentic workflows.
- Proficiency with AI orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen).
- Strong knowledge of vector databases (e.g., Pinecone, pgvector, Weaviate, Azure AI Search).
- Multi-cloud fluency across GCP, AWS, and Azure AI/ML platform services.
Nice to have
- Experience with Model Context Protocol (MCP) server design or AI gateway patterns.
- Background in Developer Experience (DX) design, SDK design, or developer portal strategy.
- Prior experience in the healthcare industry.
- Familiarity with AI observability tooling and evaluation frameworks.
Culture & Benefits
- Comprehensive Health, Vision, and Dental benefits starting on day one.
- 401(k) retirement plan with company match up to 4% plus a 6% annual company contribution.
- Paid Time Off and Personal Community Enrichment Time.
- Tuition Assistance Program.
- Robust employee well-being program and disability insurance.
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