Senior AI Developer/Architect

Location: Remote (US) · Austin, TX area preferred 

About Us

Health Admins is a leading third-party administrator in the healthcare space. Our Vision is to radically improve the way individuals interact with the healthcare system. We are committed to providing innovative and efficient health care solutions to our clients, ensuring they receive the best possible care and service. Our team is currently seeking a highly skilled and experienced Senior AI Developer to join our dynamic team. 

What We Are Looking For

Our ideal candidate will play a crucial role in managing our AI environment, optimizing its performance, and driving continuous improvements to support our business goals and enhance our service delivery.

Every Team Member is Driven by a Commitment to Live out These Values:

Be Authentic:  Be true and honest 

Be Helpful:  Pitch in and help

Be Innovative:  Seek & embrace innovation

Be Accountable: Do what you say you are going to

Employees are expected to embrace our core values by being “A Hero in Action.” These values lay the foundation for the way we engage with each other and with our clients.  They form the guardrails for our decision making and approach to problem solving.

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

Equal Opportunity Statement

We are deeply committed to building a workplace and global community where inclusion is not only valued but prioritized. We are proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro diversity, disability, age or veteran status, or any other non-merit based or legally protected grounds. We are committed