microsoft-copilot jobs in San Diego

This role involves conducting comprehensive security assessments of AI systems and deployments, evaluating them against NIST frameworks (AI RMF, CSF, 800-53, 800-171) and other security standards. The consultant will identify AI-specific risks such as prompt injection, model misuse, data leakage, and supply-chain vulnerabilities across cloud platforms (AWS, Azure, hybrid).…See more Responsibilities include developing AI governance frameworks, policies, and controls; assessing AI development environments, model pipelines, APIs, and orchestration layers; and delivering executive-level recommendations and remediation roadmaps. Requires 7+ years of cybersecurity/consulting experience and 3+ years supporting AI/machine learning security initiatives, with strong expertise in AI threat modeling, secure AI deployment, and governance frameworks.

Lead end-to-end automation testing for web and mobile applications using Java, Selenium, Playwright, and TestNG, with specialized expertise in AI/LLM model evaluation and Generative AI testing. Design and maintain robust automation frameworks for regression, functional, and integration testing while creating comprehensive test plans for both traditional software and AI-based applications.…See more Evaluate LLM outputs against expected behavior, validate prompt/response quality, and document model-quality findings. Collaborate with developers, product owners, and stakeholders using Shift-Left Testing practices and Agile methodologies, leveraging AI-powered tools like GitHub Copilot and ChatGPT to enhance testing efficiency.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio driver stack solutions (UMDF/KMDF) that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets.…See more Debug complex multi-threaded, multi-processor issues across hardware/software boundaries and optimize for low-power always-on scenarios. Collaborate with cross-functional teams (hardware, DSP, ML, systems, product) and communicate status, risks, and mitigations to stakeholders.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio and driver stack solutions leveraging Qualcomm SoC capabilities while meeting strict latency and power targets.…See more Build components across user-mode and kernel-mode boundaries using UMDF/KMDF, integrating with Windows audio frameworks. Optimize performance and debug complex multi-threaded issues across hardware/software boundaries.

Principal AI Platform Engineer leading enterprise AI infrastructure strategy and governance at the platform boundary. Responsible for implementing and maintaining Bedrock Guardrails and Microsoft Purview DLP controls, managing AI vendor relationships with Microsoft and AWS, producing governance artifacts and runbooks, and leading internal AI adoption through community building and enablement.…See more Requires 7–10 years of cloud/DevOps experience with hands-on production expertise in AWS Bedrock (Agents, Knowledge Bases, Guardrails) and Microsoft 365 Copilot deployment in enterprise environments, including data integration, RAG architecture, and AI security controls.

This role leads enterprise generative AI architecture and solution delivery on Oracle Cloud Infrastructure, designing agentic workflows, RAG pipelines, and LLM-based integrations with Oracle applications. The candidate will define AI governance and security standards, identify high-value use cases, mentor technical teams, and guide model selection and optimization.…See more Requirements include 8+ years of enterprise architecture experience with 2+ years in AI/ML/GenAI solution architecture, hands-on expertise with OCI services (Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, Integration Cloud), and proficiency in Python, SQL, and REST APIs.

The RMA Engineer manages Return Material Authorizations for hyperscaler and enterprise server products, handling review, logging, troubleshooting, and root cause analysis of returned hardware down to component level. Responsibilities include diagnosing failures, executing test plans, validating server SKUs across cloud platforms (AWS, Azure, GCP), and coordinating repair and return-to-service processes.…See more The role requires collaboration with engineering, supply chain, and customer support teams, along with maintaining accurate records and generating trend reports. Required background: Bachelor's in Computer Science or Electrical/Electronics Engineering plus 4+ years of hardware engineering experience (or equivalent with advanced degree).

The RMA Engineer manages Return Material Authorizations for hyperscaler and enterprise server products, handling hardware evaluation, troubleshooting, and disposition. Responsibilities include diagnosing component-level failures, performing root cause analysis, executing test plans, and validating server configurations across AWS, Azure, and GCP environments.…See more The role requires collaboration with engineering, supply chain, and customer support teams, plus inventory management and process coordination. Candidates need a bachelor's degree in Computer Science or Electrical/Electronics Engineering with 4+ years of hardware engineering experience (or equivalent via advanced degree).

Senior Windows audio software engineer responsible for end-to-end feature development of Voice AI capabilities on Windows, including wake-on-voice, on-device ASR, translation, transcription, and TTS. The role requires designing and implementing Windows audio and driver stack solutions that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets, with work spanning user-mode and kernel-mode boundaries (UMDF/KMDF).…See more Responsibilities include gathering technical requirements, optimizing low-power audio architecture for always-on use cases, and debugging complex multi-threaded and multi-processor issues across hardware/software boundaries. The engineer will collaborate with cross-functional teams (hardware, DSP, systems, ML, product) and communicate status, risks, and roadmap contributions to technical leads.

Own and administer a Microsoft Fabric environment including lakehouses, OneLake storage, workspaces, and SQL Analytics endpoints. Design and maintain scalable semantic models, Power BI reports, and dashboards across finance, investor relations, and operations.…See more Lead migration of Yardi-native Power BI reporting to Fabric and replace manual Excel-driven reporting with governed solutions. Build AI-enabled analytics, natural-language querying capabilities, and establish governance standards for data access, row-level security, and workspace administration.

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.

Senior Infrastructure & Security Engineer responsible for administering and securing Microsoft 365, Azure, and Entra ID environments, including identity controls, conditional access, and MFA enforcement. The role encompasses data protection through DLP policies and Microsoft Purview, endpoint security via CrowdStrike, Windows Server and Active Directory infrastructure, virtualization (VMware, Azure), backup/disaster recovery, and establishing governance standards for AI platforms.…See more Requires 7+ years of progressive IT infrastructure and security experience with strong expertise in Microsoft cloud services, identity management, and enterprise networking.

This Senior BI Analyst role in Finance focuses on building and maintaining business intelligence dashboards, financial reporting systems, and analytics for a medical device company's finance organization. The analyst will consolidate commercial expenses, develop FP&A deliverables using Power BI and other BI tools, manage revenue analytics reporting, and identify automation opportunities across finance processes.…See more The role requires strong Excel and Power BI skills, Oracle ERP and Hyperion/SmartView expertise, knowledge of US GAAP, and familiarity with AI-enabled tools like Microsoft Copilot to streamline finance workflows.

Sr. IT Project Manager/Business Analyst leading complex, cross-functional technology and digital transformation programs with significant organizational impact.…See more Responsibilities include developing business cases, managing project governance, coordinating UAT and defect tracking, driving enterprise process improvement and AI adoption, managing vendor relationships, and mentoring junior PMs and business analysts. Requires minimum 5 years of progressively responsible experience in project management, business analysis, and enterprise technology initiatives, with demonstrated expertise in stakeholder facilitation, executive reporting, change management, and scope/schedule/budget/risk 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.

Lead the design, deployment, and governance of an enterprise AI platform integrating AWS Bedrock, Microsoft 365 Copilot, and structured/unstructured data sources. Act as the primary technical authority for AI infrastructure, RAG architecture, security controls, and AI adoption across business units, with responsibility for platform budget, vendor contracts, and internal capability building through mentoring and community-of-practice leadership.…See more Requires hands-on production experience with Bedrock (Agents, Knowledge Bases, Guardrails), M365 Copilot enterprise deployment, and proven ability to operate as a solo platform owner in a matrixed organization without direct reports.

This is a senior-level IT support role handling escalated complex technical issues across remote and onsite client environments. The Client Engineer will troubleshoot and resolve infrastructure-layer problems spanning M365 administration (Exchange, SharePoint, Teams, Entra ID), macOS support, networking (DNS, DHCP, VPN, firewalls), and generative AI platforms, while traveling to client sites in the metro area as needed.…See more The role requires strong technical depth, independent judgment, excellent client-facing communication skills, and the ability to quickly assess scope and determine whether issues require remote or onsite resolution. A valid driver's license and comfort working in ambiguous situations across both remote and field settings are essential.

As Senior Manager of AI Governance Technology at Teradata, you will own the end-to-end technical architecture of the company's AI Governance Operating System, including intake pipelines, compliance monitoring, and agentic workflows. You'll lead the engineering of sophisticated automation using tools like n8n and Claude APIs, architect the AI tool registry, and design real-time monitoring systems that anticipate governance challenges.…See more You'll serve as the internal expert on Claude Enterprise, Microsoft Copilot, and Teradata AI Studio integrations, setting technical standards and specifications that guide the broader engineering team. This is a technical leadership role requiring deep expertise in enterprise AI governance, system architecture, and the ability to make complex engineering decisions with significant autonomy.