Evergreen: AI Platform & Data Engineer

Are you ready for new challenges and new opportunities?

Join our team!

Current job opportunities are posted here as they become available.

We are continuously sourcing for talent while we await anticipated job openings. Candidates who apply to this role understand we may not have an immediate opening and wish to be considered for future opportunities.

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.

Senior AI Platform & Data Engineer serves as an experienced individual contributor within a team, with the expectation that you will further develop your leadership, guidance and mentoring skills. With minimal oversight from leadership, you will be responsible for supporting the goal of meeting scope, schedule and delivery requirements. A Senior AI Platform & Data Engineer impacts the long‑term goals of the program, while contributing to the development of the program’s data strategy.

You may serve as the discipline’s primary lead when working with stakeholders and utilize strong influential skills to drive improvements in data 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., Lang Chain). 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.
• Strong influential skills to propose and evaluate multiple approaches to technical and process problems

Serves as a mentor to individuals within the team

May leads small, less critical, or temporary team structures and projects

Presents design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers

Fully understands and consistently implements data engineering best practices

Generates data architecture recommendations and demonstrates the ability to implement them

Diagnoses and effectively resolves issues with the systems they own, using incidents to inform educational opportunities and system improvements

Actively mentors and assists more junior engineers in the development of their skills

Effectively communicates technical issues and developments with team members and clients

Participates in technical interviews with new candidates

Bachelor’s degree and 7+ years of experience

Relevant years of experience may be substituted for education

Demonstrates expert‑level knowledge in at least one family of data ingestion systems, cloud database services, and visualization software

• Strong experience with data engineer in the cloud.
• Expertise in AI/ML workflows, model…