Lead Data & AI Platform Architect

Anblicks Inc.; Dallas, Northern (TX, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Anblicks Inc. in Dallas seeks a Lead AI Engineer to own end-to-end delivery of an enterprise data and AI platform. This hands-on leadership role guides onshore and offshore engineers, architecting cloud data solutions, ML pipelines, and CI/CD while collaborating with stakeholders.

You will design models, ensure explainability, implement MLOps, and drive production readiness, with responsibility from requirements through deployment.

Qualifications

• 8+ years in data engineering and applied ML, with 3+ years in a technical lead or delivery-lead capacity.
• Expert-level cloud data platform experience (Snowflake preferred): stored procedures, tasks/streams, scripting, performance tuning, and warehouse design.
• Strong SQL and dimensional/data-warehouse modeling (Kimball, medallion architecture).
• Proven track record deploying ML models to production across supervised, unsupervised, and deep-learning techniques.

Responsibilities

• Own end-to-end delivery of the data and AI platform across ingestion, curation, and consumption layers.
• Architect, develop, and productionize the AI/ML layer from feature engineering to deployment and monitoring.
• Establish MLOps: feature stores, model registry, automated retraining, and drift monitoring.

Skills

Snowflake data platform

Python for ML

MLOps & CI/CD

Distributed leadership

SQL & data modeling

Git & PR workflows

Education

Bachelor's or Master's in CS/Data Eng

Tools

Snowpark ML

Azure DevOps

Jira/Confluence

Streamlit

Job description

Anblicks Inc. in Dallas seeks a Lead AI Engineer to own end-to-end delivery of an enterprise data and AI platform. This hands-on leadership role guides onshore and offshore engineers, architecting cloud data solutions, ML pipelines, and CI/CD while collaborating with stakeholders.

You will design models, ensure explainability, implement MLOps, and drive production readiness, with responsibility from requirements through deployment.