Senior AI Platform Lead — ML & MLOps

Anblicks; Richardson (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Anblicks is seeking a Lead AI Engineer to own the end-to-end technical delivery of an enterprise data and AI platform, a hands-on leadership role that is onshore and client-facing. The successful candidate will design cloud data architecture, ML pipelines, and CI/CD while directing an onshore/offshore engineering team and serving as the primary technical point of contact for stakeholders.

The ideal candidate combines deep data engineering with applied AI/ML and the delivery ownership to take

Qualifications

• 8+ years in data engineering and applied machine learning, with 3+ years in a technical lead or delivery-lead capacity.
• Expert-level cloud data platform experience (Snowflake strongly preferred).
• Strong SQL and dimensional/data-warehouse modeling (Medallion/Kimball).
• Proven track record deploying ML models to production across supervised, unsupervised, and deep-learning techniques, including model explainability.

Responsibilities

• Own end-to-end delivery of the data and AI platform across ingestion, curation, and consumption layers, including analytics and ML tiers.
• Design and build cloud data engineering assets: stored procedures, pipelines/DAGs, data models, transformations, and idempotent ingestion.
• Architect, develop, and productionize the AI/ML layer from feature engineering through training, scoring, deployment, and monitoring.
• Build and operationalize models spanning supervised, unsupervised, and deep-learning approaches, and integrate outputs back into downstream surfaces.
• Establish MLOps: feature stores, experiment tracking, model registry, automated retraining, and production model monitoring for drift and performance.
• Deliver model explainability and transparency to support trust, auditability, and stakeholder confidence.
• Evaluate and apply generative AI/LLMs where they add value for enterprise use cases.
• Manage the full CI/CD lifecycle: PR reviews, environment promotion, production deployments with approval gates.
• Lead and mentor a distributed onshore/offshore team; set engineering standards and ensure delivery quality.
• Act as the technical liaison to stakeholders and SMEs; run sessions and drive design decisions to closure.
• Own technical documentation and delivery artifacts, and support UAT, cutover, and production readiness.

Skills

Data engineering

Applied ML

Technical lead

Education

Bachelor's / Master's in CS / Data science

Tools

Snowflake

Snowpark ML

Azure DevOps

Git

CI/CD tooling

Job description

Anblicks is seeking a Lead AI Engineer to own the end-to-end technical delivery of an enterprise data and AI platform, a hands-on leadership role that is onshore and client-facing. The successful candidate will design cloud data architecture, ML pipelines, and CI/CD while directing an onshore/offshore engineering team and serving as the primary technical point of contact for stakeholders.

The ideal candidate combines deep data engineering with applied AI/ML and the delivery ownership to take