Open Talent Network: Senior AI Platform & Data Engineer

Ad Hoc is a technology company that delivers scalable digital services for government and other public-sector organizations. The Senior AI Platform & Data Engineer designs and operationalizes AI/ML infrastructure, model lifecycle services, data platforms, and shared foundational services while supporting data engineering practices, mentoring, stakeholder engagement, and recruiting.

Responsibilities:

• Design, build, and operationalize a scalable AI/ML infrastructure to support multi-agent AI systems
• Implement the Model Control Plane (MCP) for model lifecycle management. Provide reusable AI services and data foundations
• Researching and integrating AI agent frameworks (e.g., LangChain). Designing the MCP for model registry and lineage tracking
• Developing shared foundational services like a managed vector database (for RAG) and distributed caching. Integrating Human-in-the-Loop (HITL) workflows for safe agent operation
• Builds data infrastructure, pipelines, systems, and tools with a little feedback and guidance from their team
• Intermediate understanding of data management and transformation of raw data into interpretable information
• Ability to create accurate and accessible datasets for Data Analysts and Scientists to interpret and use
• Own maintenance of data architectures and systems
• Practices technical and communications skills to improve context knowledge and mentor junior data engineers
• Presents on and writes about their work to both internal and external parties
• Participates in planning sessions, building an understanding of data architectures and infrastructure
• Supports recruiting efforts by evaluating homework assignments and potentially assisting with interviews

Requirements:

• • Bachelor's degree and 7+ years of experience

• Relevant years of experience may be substituted for education

• • Proficient with at least one family of data ingestion systems, cloud database services, and visualization software
• • Background in key data concepts including constructing databases, processing big data, improving data accuracy, etc
• • Strong experience with data engineer in the cloud
• • Expertise in AI/ML workflows, model deployment, and observability (latency, throughput)
• • Ability to design for data privacy and implement technical AI guardrails
• • Python (primary language), SQL, Spark/Databricks (for large-scale data processing), Kubernetes/ECS, OpenAPI (for API documentation), experience with vector databases and feature stores