AI Engineer
About The Position
Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. This onsite role requires the selected candidate to work from an HHS office in Austin, Texas. Performs highly complex computer systems analysis and AI engineering work for the CTO team. Work involves designing, engineering, configuring, and implementing data pipelines, AI agents, orchestration workflows, retrieval patterns, reusable AI services, secure integrations, and automation capabilities that support enterprise modernization and responsible AI innovation. The position helps translate business and technical needs into scalable AI-enabled solutions by preparing governed data sources, developing reusable components, evaluating model and prompt performance, supporting secure access controls, and documenting repeatable implementation patterns. The position also supports responsible AI practices, solution monitoring, technical standards alignment, and collaboration with architecture, cloud, data, security, privacy, and application teams to deliver reliable, maintainable, and agency-owned enterprise technology capabilities. Works under general supervision, with moderate latitude for the use of initiative and independent judgment.
Requirements
- Graduation from an accredited four-year college or university with major coursework in computer science, data engineering, artificial intelligence, or a related field. Experience may substitute for education on a year-for-year basis.
- Minimum of 4 years of experience in data engineering, programming, or supporting AI or LLM-based solutions.
- Thorough knowledge of Python programming and object-oriented software patterns.
- Thorough knowledge of modern AI frameworks, such as LangChain, LlamaIndex, and CrewAI, and cognitive orchestration architecture patterns.
- Thorough knowledge of AI platforms and services offered by cloud service providers, such as Azure, AWS, and Google.
- Thorough knowledge of vector and graph databases, such as Pinecone, Chroma, pgvector, and Neo4j, text embeddings, and semantic index optimization.
- Thorough knowledge of enterprise data security regulations, data masking, and access management within state processing systems.
- Strong skill in configuring secure ETL/ELT pipelines to structure, clean, and securely ingest large sets of semi-structured and unstructured data.
- Strong skill in building stateful, autonomous AI agents, establishing logic guardrails, and managing programmatic prompt lifecycles.
- Strong skill in debugging asynchronous code flows, multi-threaded worker routines, and API call limits within complex codebases.
- Ability to systematically benchmark AI systems for precision, context recall, safety, and toxicity using automated evaluation tools.
- Ability to translate multi-agent AI patterns into clear technical flowcharts and data maps
- Ability to provide technical guidance and support developers through complex pipeline refactoring assignments.
Nice To Haves
- Experience with AI or ML
Responsibilities
- Designs, develops, and implements AI agents, orchestration workflows, reusable AI services, prompt management solutions, API integrations, and automation components using approved cloud services, Python frameworks, and AI toolchains to support modernization, service delivery improvement, and responsible AI innovation.
- Designs and modifies secure data ingestion structures, retrieval-augmented generation (RAG) vector stores, embeddings, semantic search patterns, metadata strategies, and automated processing pipelines to provide AI solutions with clean, structured, governed, and access-controlled agency data.
- Evaluates, tests, and tunes AI model performance, agent behavior constraints, prompt effectiveness, retrieval quality, guardrails, auditability, and solution reliability to support security, privacy, compliance, accessibility, and approved system requirements.
- Prepares technical documentation, implementation notes, architecture diagrams, data flow diagrams, operational runbooks, and decision support materials; provides technical guidance to staff and project teams on AI integration, reuse, supportability, and secure modernization practices.
- Performs other duties as assigned.
Benefits
- 100% paid employee health insurance for full-time eligible employees
- A defined benefit pension plan
- Generous time off benefits
- Numerous opportunities for career advancement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
