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AI​/ML Specialist-Automation Engineer

Job in Washington, District of Columbia, 20022, USA
Listing for: iTech Media
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Engineer
Job Description & How to Apply Below

Overview

AI / ML Specialist – Automation Engineer (Mid-Level) – DHA Data Governance Support

Location:

Hybrid / Remote (as contract allows)

Clearance:
DoD Secret clearance

Experience Level: Mid-Level (3–6 years)

Role Overview

The AI / ML Specialist – Automation Engineer supports the DHA Data Governance program by designing, prototyping, and implementing AI-enabled automation capabilities that improve metadata management, data lineage, data quality, and self-service discovery across enterprise data assets.

This role focuses on practical application of AI and automation—including NLP, semantic search, and workflow orchestration—to enhance governance workflows while operating within DHA-approved tools, security constraints, and compliance requirements.

The engineer collaborates with data governance leads, data engineers, and platform teams to evaluate AI readiness of COTS tools, develop proofs-of-concept (PoCs), and transition successful automation patterns into repeatable, operational workflows.

Key Responsibilities
  • Evaluate COTS data governance, catalog, and analytics tools for AI/ML readiness, including capabilities for semantic search, automated lineage generation, metadata enrichment, and AI-assisted data quality.
  • Lead development of AI-enabled prototypes and PoCs using Python, SQL, and/or R to demonstrate automation opportunities supporting DHA data governance objectives.
  • Apply approved DHA and enterprise AI platforms to test metadata extraction, classification, semantic tagging, summarization, and lineage inference use cases.
  • Design and implement automated workflows for metadata review, approval, publication, and governance enforcement.
  • Configure and prototype data quality monitoring, including AI-assisted anomaly detection, semantic validation, and alerting.
  • Develop NLP-enabled search and discovery prototypes and lightweight dashboards to support self-service access to governed data assets.
  • Support User Acceptance Testing (UAT) and validation of AI-enabled governance features with DHA stakeholders.
Supportive Responsibilities
  • Advise governance and platform teams on future automation opportunities for metadata capture, lineage, and quality enforcement.
  • Integrate workflow automation tools (e.g., Power Automate or equivalent) for ingestion triggers, notifications, approvals, and alerts.
  • Optimize existing sync and ingestion scripts for performance, scalability, and reliability, incorporating AI-driven normalization where appropriate.
  • Support pilot demonstrations showcasing end-to-end traceability and lineage using AI-assisted techniques.
  • Assist in automating versioning, SLA enforcement, and governance metrics, leveraging AI tools to assess data quality and compliance.
Required Qualifications
  • 3–6 years of experience in software engineering, data engineering, automation engineering, or ML-adjacent roles.
  • Strong hands-on experience with Python and SQL (R preferred but not required).
  • Experience building automation scripts, workflows, or pipelines in enterprise data environments.
  • Working knowledge of AI/ML concepts (e.g., NLP, semantic search, embeddings, classification, inference), with an emphasis on applied use cases rather than model research.
  • Experience evaluating or integrating COTS platforms and enterprise data tools.
  • Understanding of data governance fundamentals, including metadata, lineage, data quality, and publishing workflows.
  • Ability to communicate technical findings clearly to non-technical and governance-focused stakeholders.
Preferred Qualifications
  • Experience supporting federal health, defense, or regulated environments (DHA, DoD, HHS).
  • Familiarity with cloud-based AI services and managed GenAI platforms approved for government use.
  • Experience with workflow orchestration or automation tools (e.g., Power Automate, Step Functions, Airflow).
  • Exposure to data catalogs, metadata platforms, or governance tooling.
  • Experience supporting PoCs, pilots, and controlled deployments in compliance-focused environments.
Benefits

Intelli Tech provides comprehensive benefits and perks that meet the needs of our employees, including comprehensive insurance, 401(k) matching, paid time off, professional development opportunities,…

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