azure jobs in San Diego

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

Design, build, and deploy production agentic AI solutions powered by Claude for enterprise clients, from proof-of-concept through production. Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.…See more Modernize existing AI/ML platforms with generative AI capabilities including RAG and agent-based orchestration. Advise clients on generative AI adoption strategy, responsible AI practices, and model selection while partnering with technology, data, and business stakeholders to scope and deliver solutions.

Lead enterprise generative AI architecture and solution design on Oracle Cloud Infrastructure (OCI), focusing on agentic workflows, retrieval-augmented generation pipelines, and Oracle application integrations. Define governance, security, and compliance standards for AI/ML initiatives across the enterprise.…See more Mentor delivery teams on prompt engineering, model selection, and optimization; identify high-value AI use cases and guide pilot deployments that drive business outcomes.

This role blends technical presales engineering with hands-on delivery for Deloitte's banking and fintech clients. You'll serve as the technical point of contact for strategic accounts, leading discovery and design sessions, building POCs and demos, and facilitating workshops to help clients adopt cloud-native, event-driven, and AI-powered architectures.…See more You'll need deep Java/Spring Boot expertise, strong microservices and event-driven architecture knowledge (Kafka, CQRS, async patterns), hands-on multi-cloud experience (AWS primary, Azure/GCP secondary), and familiarity with LLM integration and agentic AI frameworks. The role demands you translate between technical stakeholders and executives, own the customer voice back to the product team, and travel 20–30% to client sites.

Senior software engineer responsible for designing, developing, and maintaining cloud-based backend systems and data pipelines for medical device software at Dexcom. You'll build distributed systems, APIs, and ETL/ELT pipelines that ingest and transform large-scale data, integrate AI insights, and serve internal systems and external partners.…See more The role requires 5–8 years of experience with general-purpose programming (Java/Kotlin/Scala preferred), cloud platforms (AWS/Azure/GCP), CI/CD, and data platform architecture, with mentorship of junior engineers expected.

Lead end-to-end technical architecture for complex PIM, PXM, and commerce SaaS implementations, translating business requirements into scalable solution architectures. Design data models, integration patterns, and system landscapes across PIM, DAM, ERP, and commerce platforms, with hands-on technical leadership to delivery teams on configuration, custom development, and integration.…See more Own technical integration strategy using APIs, services, and event-driven patterns; act as technical authority for risk identification and architectural decisions. Stay current on Agentic Commerce and GenAI trends to automate product content supply chains and drive AEO/GEO strategies for LLM syndication.

Director of Engineering Program/Project Management responsible for owning the Pyxis Logistics product portfolio strategy, roadmap, and execution across legacy and next-generation cloud platforms. Lead cloud transformation initiatives including modern development practices (Agile, DevSecOps, CI/CD), architecture, cybersecurity, and SaaS operations.…See more Own program success (scope, budget, schedule, quality, risk), manage cross-functional teams across R&D, Product, Quality, Regulatory, Operations, and Commercial, and balance sustaining engineering with new product development and strategic cloud migration.

Join XiFin's Advanced Data Analytics team as an Associate Machine Learning Engineer to design, develop, and deploy machine learning models with a focus on LLMs, Generative AI, and Agentic AI in healthcare and revenue cycle domains. You will contribute to MLOps pipelines, perform data preparation and prompt engineering, collaborate with cross-functional teams, and validate models for production use.…See more The role requires a Bachelor's degree in Computer Science, Data Science, or related field, with proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and foundational knowledge of GenAI architectures, vector databases, and LLM orchestration frameworks.

Design and build production AI systems integrated into enterprise workflows, owning the full stack from APIs and backend services through cloud infrastructure, data pipelines, and AI components. Lead multidisciplinary engineering teams, make architectural decisions across cloud platforms (AWS, Azure, GCP), containers, serverless, and infrastructure-as-code, while building agentic systems with tools, memory, and safety controls.…See more Own DevSecOps practices including CI/CD automation, security scanning, and incident response. Require 5+ years of production software engineering, full-stack development across multiple layers, hands-on experience with a major cloud platform, and proficiency in languages like Java, Python, Go, TypeScript, or C#.

This Enterprise Application Engineer will administer and optimize the firm's Elite 3E Time Management and Financial system, along with supporting enterprise applications across finance, accounting, and practice management. The role involves designing SQL queries and scripts, building API integrations, automating workflows with Power Automate, managing Azure-based systems and Windows/SQL Servers, and troubleshooting complex application issues.…See more Required skills include advanced Microsoft SQL Server knowledge (query development, DBA-level tasks, performance tuning), API integration and scripting (PowerShell, C#), Azure enterprise applications (app registrations, Azure AD, authentication), and Power Automate automation. The candidate will work independently and cross-functionally to ensure system stability, performance, and continuous improvement.

Forward Deployed Engineer who embeds with clients to identify business needs and translate high-value GenAI use cases into production solutions. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms, delivering production-quality code with strong testing, CI/CD, logging, and documentation practices.…See more Lead working sessions, prototype solutions, and mentor team members while balancing architecture decisions around quality, safety, latency, cost, and model risk. Requires 3+ years software/data engineering experience, 1+ years hands-on GenAI/LLM deployment, and 1+ years with Microsoft AI & Data (Azure AI Foundry).

Senior AI Engineer role focused on designing and leading scalable, high-performance data architecture solutions that support AI/GenAI use cases. The role involves building and optimizing data pipelines, defining database schemas (Graph, SQL, NoSQL), and leading infrastructure for AI model deployment across cloud and on-premises environments.…See more Requires 4+ years in data engineering/MLOps with hands-on AWS/Azure/GCP experience, 2+ years managing technical teams, and expertise in DevOps, CI/CD, containerization (Kubernetes, Docker), and ML deployment frameworks. The position includes mentoring junior engineers and driving technology modernization initiatives.

Senior forward-deployed engineer at Deloitte GPS responsible for developing scalable AI engineering patterns and production-quality GenAI/LLM solutions for government clients. Must have 7+ years software/data engineering experience, 1+ years hands-on with Palantir (Foundry, AIP, or Maven), and 1+ years building and deploying LLM-powered solutions in production.…See more Role emphasizes architecture balancing quality, safety, latency, cost, and model risk; delivering well-tested, documented code with strong CI/CD practices; and translating business problems into AI solutions while leading technical workstreams.

Design and implement secure, scalable Google SecOps architectures for SIEM and SOAR deployments aligned with enterprise security policies and regulatory requirements (GDPR, PCI DSS). Lead log ingestion pipelines using data fabric technologies, develop threat detection content, translate security operations into automated SOAR playbooks, and mentor junior team members.…See more Requires 7+ years in security operations or threat detection engineering, hands-on experience with Google Chronicle/Siemplify, Python automation, Logstash/Gostash, ETL technologies (Cribl, Bindplane, Kafka), and familiarity with security frameworks like MITRE ATT&CK.

This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.…See more Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.

This role administers Microsoft 365 cloud services (Entra ID, Intune, Exchange Online, Teams, SharePoint) and manages core infrastructure including firewalls, VPNs, Active Directory, and Windows Server environments. The Systems Administrator will handle identity and access management, endpoint security, device compliance, and network troubleshooting while automating administrative tasks with PowerShell.…See more Responsibilities include Tier 2/3 technical support, system monitoring, and participation in infrastructure projects. The ideal candidate has 3+ years of systems administration experience with strong Microsoft 365 and networking foundations.

The Solution Architect I designs and documents cloud-native solutions using Azure and .NET, bridging business requirements with technical execution. This early-career role partners with engineering, product, and DevOps teams to translate needs into scalable, secure architectures while guiding implementation.…See more Responsibilities include creating architecture artifacts (diagrams, ADRs, specifications), applying modern patterns (API-first, event-driven, agentic AI), and ensuring solutions meet reliability, observability, security, and cost goals. Required: 3–5 years in software development or systems engineering, hands-on Azure and .NET experience, understanding of DevOps/CI/CD and observability principles.

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).

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

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 Identity Verification Engineer responsible for designing, implementing, and managing enterprise identity and access management (IAM) solutions with a focus on passwordless authentication and identity proofing. Will configure and integrate platforms including 1Kosmos, Microsoft Verified ID, Microsoft Entra ID, and industry-standard IAM tools (SailPoint, Okta, Ping), while developing REST API integrations, supporting SAML/OAuth/OIDC/SCIM protocols, and ensuring compliance with security standards.…See more Requires 3–5+ years of IAM experience and 2+ years of hands-on implementation with 1Kosmos or Microsoft Verified ID, including biometric verification and enterprise onboarding workflows.

Lead security operations and threat detection engineering for enterprise clients using Google SecOps (Chronicle SIEM and Siemplify SOAR). Design and deploy log ingestion pipelines, develop threat detection rules, translate SOC processes into automated playbooks, and manage integrations across security platforms.…See more Mentor junior SOC engineers and collaborate with threat detection teams to reduce alert fatigue and scale response capabilities.

As a Data Engineer at Booz Allen Hamilton, you will design, develop, and deploy data pipelines and platforms that organize disparate data sources to support mission-critical analytics workloads. You'll work with ETL operations, relational and non-relational databases, and collaborate with analysts, developers, and data scientists in an agile environment.…See more Required skills include Python, SQL, Git, Linux/Windows automation, and experience with pipeline development or systems administration. The role emphasizes building scalable, maintainable data infrastructure that transforms raw data into actionable insights.

As a Research Cybersecurity Analyst, you will review research contracts, proposals, and data-use agreements to identify security and compliance requirements, then conduct risk assessments and recommend practical safeguards. You will coordinate security controls across cloud and on-premises research environments, assess architectures for identity management, encryption, and network segmentation, and develop compliance documentation (SSPs, POA&Ms) for sponsor audits and CMMC readiness.…See more You will work with researchers, IT teams, and compliance partners to interpret regulatory requirements, map them to controls, and explain technical security obligations in practical terms to non-technical stakeholders. Experience in NIST frameworks, security assessments, vulnerability management, and regulated environments (higher education, research, healthcare, government, defense) is especially valued.

This role supports research teams at a university by reviewing security requirements in research contracts and proposals, conducting risk and compliance assessments, and recommending practical security approaches. The analyst will coordinate security controls across cloud and on-premises research environments, assess security architectures and configurations, and develop compliance documentation including SSPs and POA&Ms.…See more The role requires interpreting cybersecurity frameworks (NIST SP 800-171, CMMC, NIST SP 800-53) and communicating technical requirements to researchers and non-technical stakeholders across identity and access management, encryption, vulnerability management, and network security.