AI/ML Specialist-Automation Engineer

District of Colombia, DC
Full Time
Mid Level

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 

Primary 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.  

IntelliTech provides comprehensive benefits and perks that meet the needs of our employees, including comprehensive insurance, 401(k) matching, paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. 

About IntelliTech: 

IntelliTech is a dynamic and forward-thinking small, disadvantaged minority-owned business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our unwavering mission is to empower both government and commercial clients to overcome their most complex technical hurdles. With a dedication to innovation and excellence, we're here to make the impossible possible for our clients. 

Equal Opportunity Statement: 

At IntelliTech, we are committed to creating a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply. 

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