azure-openai jobs in San Diego

As a Senior Consultant on the Cloud Cyber Risk team, you will deliver Azure cloud security engagements spanning governance, identity, application security, infrastructure, AI security, monitoring, and data protection. You will perform security assessments, solution design, implementations, and health checks across Azure, Microsoft Entra ID, and Microsoft 365 environments, working directly with clients to identify risks and recommend configurations.…See more You will develop technical deliverables including assessment reports, architecture diagrams, and remediation documentation. The role requires 4+ years of technical consulting or cloud security implementation experience, hands-on design and implementation in Azure or hybrid cloud environments, expertise with Azure Policy, Terraform, or JSON-based infrastructure configuration, and 3+ years with cloud security tools (CNAPP, CSPM, CWPP).

This is a senior cloud security consulting role at Deloitte focused on designing, implementing, and managing Azure cloud security solutions across governance, identity, application security, AI security, and infrastructure. The candidate will lead client engagements and cross-functional teams, translating business requirements into enterprise cloud security architectures and strategies, with hands-on experience designing controls for Azure AI services, CNAPP/CSPM/CWPP platforms, and infrastructure-as-code tools like Terraform.…See more Success requires 6+ years of technical consulting and solution architecture in Azure, 4+ years designing cloud security solutions and enterprise architectures, and deep expertise in Azure Policy, Terraform, JSON-based infrastructure, and Microsoft AI security frameworks.

Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).…See more Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.

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.

The AI Engineer designs, builds, and operates production-grade AI solutions in Azure Government environments, focusing on LLM and RAG implementations, agentic AI workflows, and secure enterprise integrations. Responsibilities include testing and optimizing language models, benchmarking RAG systems, building MCP server integrations, implementing multi-step AI agents using platforms like N8N and Copilot Studio, and developing modular AI microservices.…See more The role requires hands-on support for security (RBAC, Key Vault, data protection), monitoring, and incident response in Azure Gov, with a focus on moving proofs of concept toward production deployment.

A senior DevSecOps engineer will design and operate an automated compliance and AI-driven security platform for DoD and federal healthcare environments. The role demands expertise in DISA STIG automation, container security, RMF/FedRAMP workflows, and SIEM/SOAR integration, with responsibilities spanning secure CI/CD pipeline development, Wazuh and Elastic Stack deployment, OpenRMF automation, and LLM-assisted security operations.…See more The engineer will build hardened base images, maintain compliance pipelines, develop Tines SOAR workflows, and mentor others on architecture decisions.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

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.

Lead a forward-deployed engineering pod (2–5 engineers) architecting and delivering LLM-enabled applications, copilots, and agentic workflows using enterprise AI platforms, particularly Microsoft Azure AI Foundry. Own end-to-end GenAI solution design—from RAG pipeline governance and prompt engineering to production deployment and quality evaluation—while mentoring junior engineers, enforcing delivery standards, and translating business problems into scalable AI systems.…See more Require 7+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment in production, and proven ability to lead technical workstreams in ambiguous, fast-paced client environments.

Lead enterprise Azure cloud platform strategy and operations for a financial services firm, overseeing compute, storage, networking, containers, and disaster recovery capabilities. Drive adoption of cloud-native architectures, managed services, and Azure AI/OpenAI to improve engineering productivity.…See more Manage cloud governance, security compliance, FinOps practices, and cost optimization across the organization. Serve as senior escalation point and strategic partner with Microsoft, using Jira and ServiceNow to coordinate delivery and service management.

Design and build production AI solutions including copilots, agents, RAG applications, and workflow automations on Azure OpenAI, Claude, and Microsoft platforms. Write custom code in Python, JavaScript/TypeScript, or C# and leverage low-code platforms like Power Automate and Logic Apps where appropriate, following solid engineering practices (version control, testing, CI/CD, AI output evaluation).…See more Integrate solutions with enterprise systems and APIs with security-first design, own projects end-to-end from deployment through adoption and improvement, and work with security, architecture, governance, and compliance teams to ensure production readiness. Communicate clearly to both technical and business audiences, document designs, and coach teammates on AI capabilities, limits, and risks.

Senior Microsoft Forward Deployed Engineer who will design, build, and deploy GenAI/LLM-powered solutions for government clients, translating business problems into production-grade AI systems. The role requires 7+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and deep expertise in Microsoft Azure (AI Foundry, OpenAI, AI Search), Python/TypeScript/C#, and Copilot extensibility.…See more You will lead project workstreams, work directly with client technical teams in fast-paced environments, and mentor others while building reliable, maintainable, well-documented code. 50% travel required.