Senior Software Engineer, AI Platform / Semantic Layer

General Dynamics is a company that engineers a diverse portfolio of high technology solutions, products, and services for various operational domains. They are seeking a Senior Software Engineer for the AI Reliability Engineering organization to design and build APIs, integrate data sources, and ensure governed access to data while collaborating with teams to meet business needs.

Responsibilities:

• Designing and building APIs for AI/agent consumption that expose business concepts and metrics rather than raw tables, so callers work in business terms instead of navigating source systems
• Building the logic that turns a business question into a validated, governed query and returns results with the appropriate access controls and provenance
• Integrating with and querying both transactional (OLTP) and analytical (OLAP) data sources through governed access, respecting the grain, join semantics, and performance characteristics of each
• Ensuring governed answers: enforcing access controls in the serving path, carrying data-sensitivity handling through responses, and routing data access to governed views where source-system security applies
• Building tooling that grounds the platform in real usage, surfacing the datasets, metrics, and relationships people actually query
• Collaborating with data architects and functional data owners to build to a shared definition contract, and with the AI/agent teams who consume the service

Requirements:

• Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience
• Ability to obtain a Department of Defense Secret security clearance is required at time of hire
• U.S. citizenship is required
• Strong backend service engineering: Experience shipping production REST or gRPC services with authentication / authorization and an eye for latency and reliability
• Demonstrated API design for AI/agent consumption, e.g., tool/function-calling interfaces, retrieval/RAG backends, or LLM-orchestration services
• Genuine working fluency across both OLTP and OLAP: Experience designing and building against a transactional database and an analytical warehouse
• Strong SQL, including experience writing code that generates or compiles queries (semantic/metrics layer, query builder, ORM internals, or similar), not only hand-authored SQL
• Experience with a semantic or metrics layer (e.g., dbt Semantic Layer, Cube, LookML, or similar)
• Hands-on experience with an enterprise data warehouse and/or a data-virtualization platform
• Experience with Rust and/or Python
• Exposure to knowledge graphs, entity resolution, or reconciling shared identifiers across systems
• Background in defense, manufacturing, or other complex multi-system enterprise environments