Senior AI Developer – Architect

🕒 vor 5 Tagen

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

Jetzt Bewerben

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Health Admins

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2015

⚕️ Krankenversicherung

💳 Fintech

Healthcare Insurance • Fintech • Software

Health Admins führt das Gesundheitswesen in eine neue Richtung, indem es den Zugang zu Gesundheitsdienstleistungen vereinfacht und diese für die Mitglieder erschwinglicher macht. Über ihre Smart Healthcare Platform bieten sie TPA-Software, Gesundheitsnavigation, Rechnungsverhandlungen und Dienstleistungen zur Schadensbearbeitung an. Ihr Ziel ist es, die Zufriedenheit der Mitglieder zu erhöhen und Loyalität zu fördern, indem sie leistungsstarke Werkzeuge und persönliche Unterstützung bereitstellen, um Kosten zu kontrollieren und Gesundheitsentscheidungen zu verbessern.

Beschreibung

• Own AI architecture across cloud platforms (AWS Bedrock, Google Vertex AI)—you'll make the calls on what we build and how • Design RAG systems end-to-end, from document ingestion and chunking strategy through retrieval optimization and generation quality • Build agentic systems using modern patterns: MCP (Model Context Protocol), tool-use, function calling, and orchestration frameworks like LangGraph • Define observability and evaluation so we know our AI is actually working in production—not just demo-ing well • Manage cost at scale—model selection tradeoffs, token economics, and budget forecasting as we grow • Establish guardrails and compliance patterns, particularly for healthcare data and HIPAA requirements • Mentor and guide implementation-level developers as the team grows • Ship production systems—this isn't a strategy-only role; you'll write code and deploy real solutions

🎯 Anforderungen

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field; or equivalent practical experience • 5+ years in AI/ML development • 2+ years in architectural leadership or technical lead roles • Proven track record architecting and deploying AI/ML systems in production environments • Experience designing systems that handle sensitive data with appropriate security and compliance controls • Preferred: Master's degree in Computer Science, AI/ML, or related field • Experience in HIPAA-regulated environments • Insurance or healthcare payer industry experience • Experience building and leading AI/ML teams • Technical Knowledge Required: Deep expertise in AWS Bedrock and/or Google Vertex AI • Proficiency with large language models (Claude, GPT, Gemini) and their APIs • Hands-on experience building RAG systems end-to-end— including document ingestion, parsing, chunking strategies, embedding models, vector databases, and retrieval optimization • Experience with vector databases (Pinecone, pgvector, or similar) • Strong background in prompt engineering and LLM integration patterns • Hands-on experience with agentic patterns: MCP (Model Context Protocol), tool-use/function calling, ReAct, Plan-and-Execute, or similar approaches • Experience with orchestration frameworks (LangGraph, LangChain, or similar) • Experience designing and implementing AI observability and evaluation systems • Track record of managing AI infrastructure costs and optimizing token economics • Proficiency in Python and/or TypeScript for AI/ML development • Experience designing secure, scalable API ecosystems (REST, GraphQL) • Preferred: Experience with LLM Ops tooling (LangSmith, Weights & Biases, Arize, Helicone, or similar) • Familiarity with HIPAA compliance frameworks and PHI data handling requirements • Experience with CI/CD pipelines for ML systems • Knowledge of data governance and lineage tracking

🏖️ Vorteile

• Competitive salary and benefits package • Dynamic and innovative work environment • Opportunities for professional growth and development • Remote work flexibility