Senior AI Solution Architect

🕒 il y a 1 mois

🏰 Missouri – Distant

🏰 Missouri – Remote

💵 $138 859 - $175 665 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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GEHA Health

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1937

🏥 Santé

🛡️ Assurance

⚕️ Assurance santé

Healthcare • Insurance • Healthcare Insurance

GEHA Health est une grande association de prestations dédiée à servir les employés fédéraux, les retraités et leurs familles. Fondée par des employés des postes en 1937, GEHA propose une gamme complète de plans de santé et dentaires, incluant des options FEHB et PSHB, ainsi que des avantages supplémentaires tels que des abonnements à des salles de sport, des avantages visuels et des récompenses bien-être. Avec un réseau de 1,7 million de prestataires à l'échelle nationale et une couverture étendue des médicaments sur ordonnance, GEHA privilégie la réinvestissement des bénéfices pour améliorer l'expérience des membres et soutenir la santé de la main-d’œuvre fédérale. Leurs plans comprennent des options Medicare Advantage et une offre robuste de télésanté, garantissant à leurs membres le meilleur soin et couverture possible.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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