Location: Remote (US) • Austin, TX area preferred
Position Overview
We're hiring a Senior AI Developer / AI Architect to lead the technical direction of our AI initiatives. This is a greenfield opportunity-you won't be inheriting legacy systems or maintaining someone else's architecture. You'll be designing and building from the ground up.
You'll own the full stack of decisions: platform selection, model strategy, RAG architecture, agent design, observability, and cost optimization. You'll shape how we build AI at this company for years to come.
If you've been waiting for a role where you can build something meaningful without fighting through layers of tech debt and organizational inertia, this is it.
Key Responsibilities
- 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
Education/Experience
Required:
- 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
What We Offer
- Competitive salary and benefits package
- Dynamic and innovative work environment
- Opportunities for professional growth and development
- Remote work flexibility
