AI Platform & Data Engineer

Company: Ad Hoc
Location: Campbell
Posted on: January 15, 2026

Job Description:

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. Primary Responsibilities: 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 disciplines 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., 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. • 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 Basic Qualifications: • Bachelor’s degree and 7 years of experience o 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 • Expertise in key data concepts including constructing databases, processing big data, improving data accuracy, etc. Preferred Qualifications: • 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.

Keywords: Ad Hoc, San Francisco , AI Platform & Data Engineer, IT / Software / Systems , Campbell, California