Lead Data Engineer (AI/ML)

Job overview

The Lead Data Engineer (AI/ML) role is onsite in Houston, TX. Compensation is not specified. The engineer builds data and AI platform capabilities for INSPYR Solutions’ client; the client’s industry is not identified in the posting. The lead shapes architecture and engineering standards while building production data pipelines, AI applications, and platform infrastructure. The role helps teams deliver reliable data and AI products, embed security and governance, and improve engineering practices through mentoring and reusable tooling.

What you'll do

• Design and build batch and streaming pipelines for industrial time-series, operational, and document data
• establish data modeling, quality, lineage, and cataloging practices
• build feature pipelines and curated datasets
• productionize machine-learning models using MLOps practices
• build retrieval-augmented generation applications and implement LLM guardrails, observability, cost controls, and evaluation
• create self-service tooling, templates, and CI/CD pipelines for AWS and on-premises environments
• own infrastructure as code, observability, and reliability practices
• embed security, governance, and compliance
• define AI-assisted software development practices
• mentor junior engineers.

What we're looking for

Skills & competencies

lead data engineer

ai/ml

data pipelines

generative ai

mlops

python

aws

snowflake

dbt

airflow

houston tx

inspyr solutions

Work arrangement

• Weekend coverage required

Why this role

The posting requests 10+ years of software engineering experience, including 2+ years in a technical lead role, and expert Python skills. It lists Snowflake, dbt, Airflow, AWS, Terraform, and production ML/GenAI experience.

About the employer

INSPYR Solutions is hiring for this role. Industry: Computer Facilities Management Services. Sector: 54.