Job Title: Senior AI Developer/Architect Company Name: 2Life Communities Job Details: $145k-$180k/yrRemoteFull,Time Job Url: https://hiring.cafe/viewjob/csn546llfn4eatyg Job Description: Posted 2d agoSenior AI Developer/Architect@ 2Life CommunitiesView All JobsWebsiteAustin or United States$145k-$180k/yrRemoteFull TimeResponsibilities:Own AI architecture, Design RAG systems, Build agentic systemsRequirements Summary:5+ years AI/ML development; 2+ years leadership; production AI/ML deployment track record; secure data handling.Technical Tools Mentioned:AWS Bedrock, Google Vertex AI, Claude, GPT, Gemini, Pinecone, LangGraph, LangChain, ReAct, MCP Location: Remote (US) · Austin, TX area preferred About UsHealth 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 ForOur 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 helpBe Innovative:  Seek & embrace innovationBe Accountable: Do what you say you are going toEmployees 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 OverviewWe'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 ResponsibilitiesOwn AI architecture across cloud platforms (AWS Bedrock, Google Vertex AI)—you'll make the calls on what we build and howDesign RAG systems end-to-end, from document ingestion and chunking strategy through retrieval optimization and generation qualityBuild agentic systems using modern patterns: MCP (Model Context Protocol), tool-use, function calling, and orchestration frameworks like LangGraphDefine observability and evaluation so we know our AI is actually working in production—not just demo-ing wellManage cost at scale—model selection tradeoffs, token economics, and budget forecasting as we growEstablish guardrails and compliance patterns, particularly for healthcare data and HIPAA requirementsMentor and guide implementation-level developers as the team growsShip production systems—this isn't a strategy-only role; you'll write code and deploy real solutionsEducation/ExperienceRequired:Bachelor's degree in Computer Science, Data Science, Engineering, or related field; or equivalent practical experience5+ years in AI/ML development2+ years in architectural leadership or technical lead rolesProven track record architecting and deploying AI/ML systems in production environmentsExperience designing systems that handle sensitive data with appropriate security and compliance controlsPreferred:Master's degree in Computer Science, AI/ML, or related fieldExperience in HIPAA-regulated environmentsInsurance or healthcare payer industry experienceExperience building and leading AI/ML teamsTechnical KnowledgeRequired:Deep expertise in AWS Bedrock and/or Google Vertex AIProficiency with large language models (Claude, GPT, Gemini) and their APIsHands-on experience building RAG systems end-to-end—including document ingestion, parsing, chunking strategies, embedding models, vector databases, and retrieval optimizationExperience with vector databases (Pinecone, pgvector, or similar)Strong background in prompt engineering and LLM integration patternsHands-on experience with agentic patterns: MCP (Model Context Protocol), tool-use/function calling, ReAct, Plan-and-Execute, or similar approachesExperience with orchestration frameworks (LangGraph, LangChain, or similar)Experience designing and implementing AI observability and evaluation systemsTrack record of managing AI infrastructure costs and optimizing token economicsProficiency in Python and/or TypeScript for AI/ML developmentExperience 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 requirementsExperience with CI/CD pipelines for ML systemsKnowledge of data governance and lineage trackingWhat We OfferCompetitive salary and benefits packageDynamic and innovative work environmentOpportunities for professional growth and developmentRemote work flexibilityEqual Opportunity StatementWe 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