IntelliTech · 1 day ago
AI/ML Specialist-Automation Engineer
District of Columbia, United States
Full-time
Hybrid
Mid Level
3+ years expIntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. The AI / ML Specialist – Automation Engineer supports the DHA Data Governance program by designing, prototyping, and implementing AI-enabled automation capabilities to enhance governance workflows and improve data management practices.
Information Technology & Services
No H1B
Security Clearance RequiredU.S. Citizen Only
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
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
Qualification
Required
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
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
Comprehensive insurance
401(k) matching
Paid time off
Professional development opportunities
Flexible work arrangements to support work-life balance
Company
IntelliTech
IntelliTech is a dynamic and forward-thinking small disadvantaged minority-owned business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, DevSecOps services, and AI & ML.
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Rishi Gupta
Founder/CEO
Company data provided by crunchbase