Evergreen: Senior AI Platform & Data Engineer

Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people’s needs and transform their experience of government.

Our collaborations have shaped some of the defining moments in public-sector service delivery. We’ve helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we’re also changing how the government approaches technology.

Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.

Ad Hoc values acceptance, accountability, and humility. We aren’t heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.

The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.

Senior AI Platform & Data Engineer serves as an emerging individual contributor within a team, expanding your leadership, guidance and mentoring skills. With the support and guidance of leadership, you will be responsible for supporting the goal of meeting scope, schedule and delivery requirements. You will interact with stakeholders and utilize influential skills to drive improvements in data engineering processes and practices. Primary expectations of a Senior AI Platform & Data Engineer include:

• →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.
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  Builds data infrastructure, pipelines, systems, and tools with a little feedback and guidance from their team

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  Intermediate understanding of data management and transformation of raw data into interpretable information

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  Ability to create accurate and accessible datasets for Data Analysts and Scientists to interpret and use

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  Own maintenance of data architectures and systems

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  Practices technical and communications skills to improve context knowledge and mentor junior data engineers

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  Presents on and writes about their work to both internal and external parties

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  Participates in planning sessions, building an understanding of data architectures and infrastructure

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  Supports recruiting efforts by evaluating homework assignments and potentially assisting with interviews

• 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.