Senior AI Solution Architect

🕒 Julho 29

🏰 Missouri – Remoto

🏰 Missouri – Remote

💵 $138.859 - $175.665 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 22%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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GEHA Health

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1937

🏥 Saúde

🛡️ Seguros

⚕️ Seguro de Saúde

Healthcare • Insurance • Healthcare Insurance

A GEHA Health é uma grande associação de benefícios dedicada a atender funcionários federais, aposentados e suas famílias. Fundada por trabalhadores dos correios em 1937, a GEHA oferece uma ampla gama de planos de saúde e odontológicos, incluindo opções FEHB e PSHB, além de benefícios adicionais, como assinaturas de academias, benefícios de visão e recompensas de bem-estar. Com uma rede de 1,7 milhão de prestadores de serviços em todo o país e ampla cobertura de medicamentos prescritos, a GEHA prioriza reinvestir os lucros para melhorar a experiência dos membros e apoiar a saúde da força de trabalho federal. Seus planos incluem opções de Medicare Advantage e uma oferta robusta de telemedicina, garantindo que seus membros recebam o melhor atendimento e cobertura possíveis.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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