Lead Data Engineer (AIML)

Title: Lead Data Engineer (AI/ML)
Location: Houston TX 77002 (ONSITE)
Duration: Direct Hire
Work Requirements: U.S. Citizen GC Holders or Authorized to Work in the U.S.

• Design and build reliable batch and streaming pipelines including ingestion of industrial time-series and operational data alongside unstructured document sources.
• Establish data modeling quality lineage and cataloging practices for data product development.
• Build feature pipelines and curated datasets that serve analytics ML and GenAI use cases.
• Productionize classical ML models following MLOps practices.
• Build GenAI applications such as retrieval-augmented generation (RAG) over enterprise documents including chunking embeddings vector search prompt management and evaluation.
• Implement guardrails observability and cost controls for LLM-based systems.
• Define evaluation approaches that make AI quality measurable and regressions visible.
• Build self-service tooling reusable templates and CI/CD pipelines so teams can ship data and AI products consistently on AWS and on-premises environments.
• Own infrastructure as code observability and reliability practices for the platform.
• Embed security governance and compliance requirements into the platform by design.
• Define and implement best practices around AI Assisted Software Development Life Cycle.
• Mentor junior engineers in design and code reviews and implementation best practices.

• 10 years of software engineering experience with at least 2 years in a technical lead role.
• Expert level experience in Python with solid software engineering fundamentals including testing code reviews branching policies version control design patterns and API design.
• Experience building data products leveraging Snowflake DBT and Airflow.
• Experience delivering classical ML and GenAI systems to production including MLOps practices such as model registries pipeline automation and monitoring.
• Deep AWS experience building data and AI platforms including S3 Tables Glue Athena Lake Formation SageMaker Bedrock Lambda ECS RDS IAM and VPC.
• Experience in designing and implementing Infrastructure as Code (IaC) using Terraform AWS CDK or CloudFormation along with deployment automation with CI/CD pipelines.
• Practical experience with AI-assisted software development workflows using tools such as Claude Code or Cursor to design implement test and refactor code.
• Experience in structuring work for AI coding agents such as writing clear specifications providing context breaking tasks down and reviewing generated output critically.
• Clear communication skills and the ability to work with both technical and non-technical stakeholders.

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