azure-key-vault jobs in San Diego

The AI Engineer designs, builds, and operates production-grade AI solutions in Azure Government (GCCH) environments, with a focus on LLM and RAG implementations. Responsibilities include testing and optimizing LLMs and model variants, benchmarking RAG systems, building MCP server integrations to connect AI agents to enterprise data, implementing agentic AI workflows using platforms like N8N and Copilot Studio, and developing modular AI microservices.…See more The role also involves supporting security practices (RBAC, Key Vault, data protection), monitoring and incident response for AI workloads, and helping BI and DevOps teams adopt AI capabilities toward production. A Bachelor's degree in Computer Science or related field and 1–2 years' experience with LLMs, RAG, or AI solution development are required.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.