Sr AI Platform Engineer

DOE City Frisco State/Province Texas 75033 Job Description Location: Bellevue, Frisco, Kansas, Atlanta (Onsite) Required experience API development: production Python with FastAPI or comparable; versioned REST APIs, contracts, governance. Batch and real-time data pipelines: Kafka or comparable streaming, plus CDC or incremental batch; built and operated end-to-end. Caching and key-value serving: production Redis or Valkey; cache invalidation, TTL strategies, hot-path serving. Vector databases and knowledge graphs: Pinecone, Weaviate, pgvector, Neo4j, or comparable; embeddings and retrieval patterns. AI software engineering: hands-on building data infrastructure for AI and ML use cases (RAG, agent tooling, feature serving). Delta Lake internals: transaction log, time travel, and Change Data Feed (CDF). SQL and data modeling: comfortable with point‑lookup vs analytical query patterns. CI/CD: GitLab or GitHub Actions; automated tests for data pipelines. Communication: works directly with senior architects, product managers, and domain stakeholders. Nice to have Embedded analytical engines: DuckDB or comparable. Microsoft Fabric / OneLake / Power BI Semantic Models: production experience. SLAs and SLOs: defining and operating for data products or APIs. MCP-style tooling: data access for AI agents. Enterprise‑scale data serving: prior work on serving infrastructure at large enterprise #J-18808-Ljbffr