Senior AI Developer – Architect

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take ownership of AI architecture across various cloud platforms (AWS Bedrock, Google Vertex AI)—you will be responsible for decisions on our projects and their execution.

• Design end-to-end RAG systems, encompassing document ingestion, chunking strategies, retrieval optimization, and generation quality.

• Develop agentic systems utilizing contemporary patterns such as MCP (Model Context Protocol), tool usage, function calling, and orchestration frameworks like LangGraph.

• Establish observability and evaluation metrics to ensure our AI solutions are effective in production environments—not just performing well in demos.

• Manage costs on a large scale—assessing model selection tradeoffs, token economics, and budget projections as we expand.

• Set up guardrails and compliance measures, particularly related to healthcare data and HIPAA regulations.

• Mentor and support implementation-level developers as the team evolves.

• Deliver production systems—this role involves not only strategy but also hands-on coding and deploying tangible solutions.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; or equivalent practical experience.

• Over 5 years of experience in AI/ML development.

• At least 2 years in architectural leadership or technical lead positions.

• Demonstrated success in architecting and deploying AI/ML systems within production environments.

• Experience in designing systems that manage sensitive data with suitable security and compliance measures.

• Preferred: Master's degree in Computer Science, AI/ML, or a related discipline.

• Experience in environments regulated by HIPAA.

• Background in the insurance or healthcare payer industries.

• Proven experience in building and leading AI/ML teams.

• Technical Knowledge Required: Extensive expertise in AWS Bedrock and/or Google Vertex AI.

• Proficiency with large language models (Claude, GPT, Gemini) and their APIs.

• Practical experience in building RAG systems from start to finish—including document ingestion, parsing, chunking strategies, embedding models, vector databases, and retrieval optimization.

• Familiarity with vector databases (Pinecone, pgvector, or similar).

• Strong foundation in prompt engineering and integration patterns for LLMs.

• Hands-on experience with agentic patterns: MCP (Model Context Protocol), tool-use/function calling, ReAct, Plan-and-Execute, or similar methods.

• Experience with orchestration frameworks (LangGraph, LangChain, or similar).

• Proven ability to design and implement AI observability and evaluation systems.

• History of managing costs related to AI infrastructure and optimizing token economics.

• Proficiency in Python and/or TypeScript for AI/ML development.

• Experience in designing secure, scalable API ecosystems (REST, GraphQL).

• Preferred: Familiarity with LLM Ops tools (LangSmith, Weights & Biases, Arize, Helicone, or similar).

• Understanding of HIPAA compliance frameworks and PHI data handling standards.

• Experience with CI/CD pipelines for ML systems.

• Knowledge of data governance and lineage tracking.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• A dynamic and innovative work environment.

• Opportunities for professional growth and development.

• Flexibility for remote work.