onsite
AI Engineer and Architect - Guidehouse Inc.
AI Engineer
Design and implement AI/ML‑driven workflows that automate metadata harvesting, enrichment, and documentation, integrating client‑approved tools and human‑in‑the‑loop review to deliver validated semantic tags and data dictionary entries.
About the role
Key Responsibilities
- Develop and deploy AI/ML models and agentic automation pipelines that extract, enrich, and validate metadata from diverse data sources.
- Design end‑to‑end metadata harvesting plans, incorporating semantic tagging, data dictionary generation, and documentation workflows.
- Integrate client‑approved tools and frameworks, ensuring seamless human‑in‑the‑loop steward review cycles for quality assurance.
- Collaborate with data engineers, analysts, and subject‑matter experts to align AI solutions with business objectives and compliance requirements.
- Monitor, evaluate, and continuously improve model performance and automation reliability in production environments.
Requirements
- Strong proficiency in Python and experience building production‑grade Machine Learning and Natural Language Processing models.
- Hands‑on experience with data engineering pipelines, metadata management, and semantic annotation techniques.
- Proven ability to design and implement AI‑assisted workflows that incorporate human review and validation.
- Familiarity with cloud platforms (e.g., AWS, Azure) and containerization/orchestration tools for scalable deployment.
- Active Secret clearance or ability to obtain one.
Skills
pythonmachine learningnatural language processing