ai-agents jobs in San Diego

Lead complex technical software programs in a matrixed organization, combining traditional program management with hands-on AI agent orchestration and autonomous systems. You will drive delivery of strategic initiatives, establish governance and operating rhythms, influence cross-functional teams, and model AI-native program management practices.…See more The role requires 7+ years of technical program delivery experience, deep software development expertise, builder-level proficiency with AI agent tools, and the ability to ramp quickly in client environments and work independently.

Senior Consultant leading Moveworks AI Assistant implementation projects for enterprise HR and IT service delivery. Responsibilities include establishing user journeys, configuring AI agents and integrations, managing ServiceNow/Workday implementations, and collaborating with stakeholders across discovery, design, build, test, and deployment.…See more Requires 4+ years of enterprise platform implementation (ServiceNow, Workday) and API/integration experience; preferred experience with conversational AI platforms and solution architecture.

As an AI Quality Assurance Engineer on the BIOVIA R&D Quality team, you will design and execute test automation for AI virtual assistants and cloud/on-premise bioscience software. You'll use ML/LLM testing expertise and hands-on AI agent experience to reduce validation turnaround time and improve software release quality.…See more The role requires proficiency in Python, TypeScript, or JavaScript; familiarity with software development processes and testing methodologies; and direct exposure to ML/LLM systems as both a user and tester.

ESM Developer I will develop and maintain enterprise service management solutions using ServiceNow or similar platforms, focusing on integrations, CMDB support, and platform troubleshooting. The role involves building REST API integrations, managing data quality, supporting releases and deployments, and collaborating across technical and business teams.…See more The candidate will work with JavaScript, SQL, databases, and enterprise data governance standards while following Clearway's AI governance and security requirements. Level I developers are expected to build foundational enterprise application development skills and recognize automation and AI opportunities.

Develop and support enterprise service management (ESM) solutions on the ServiceNow platform, with a focus on integrations, CMDB maintenance, platform troubleshooting, and AI-enabled automation. The role involves building REST API integrations, maintaining data quality, supporting platform releases and deployments, and collaborating across technical and business teams.…See more Requires a bachelor's degree in a technical field or equivalent experience, 1+ years in application/software development or systems administration, and working knowledge of JavaScript or another modern programming language. This Level I position will grow technical responsibility as capability develops, with an emphasis on learning enterprise development standards and recognizing opportunities for automation and AI technologies.

The ESM Developer I will develop and maintain ServiceNow-based enterprise service management solutions, focusing on platform support, integrations, and CMDB data quality. Responsibilities include building integrations using REST APIs and IntegrationHub, troubleshooting connectivity and data issues, supporting platform releases and deployments, and collaborating with cross-functional teams to translate business requirements into technical solutions.…See more The role requires a bachelor's degree in a technical field or equivalent experience, 1+ years in application or systems development, and working knowledge of JavaScript or similar programming languages, with opportunities to apply AI and automation technologies.

As Product Success Technical Director for AI Adoption Engineering at ServiceNow, you will own escalation resolution and architecture consulting for the company's most complex agentic AI deployments. You'll diagnose and stabilize at-risk customer go-lives, design resilient agentic architectures (LLM integration, RAG, multi-agent orchestration, guardrails, governance), and serve as the technical authority for customer executives during high-stakes moments.…See more You'll mentor the team, codify reusable playbooks and reference architectures, and act as a strategic conduit between field escalations and Product/Engineering to turn hard-won patterns into scalable capability.

Senior Staff Inbound Product Manager responsible for owning the roadmap, vision, and requirements for conversational AI features within ServiceNow's AI platform. The role requires translating customer feedback into product improvements, guiding product strategy across multiple teams, and steering the development of AI features including disambiguation, clarification, document/multimodal experiences, slot filling, feedback intelligence, and fallback handling.…See more Success requires 12+ years of enterprise product management experience, deep knowledge of conversational AI, generative AI, and agentic systems, plus hands-on experience with AI evaluation, prompt engineering, retrieval systems, and knowledge bases. The person will create PRDs, define testing and quality requirements, support strategic customers through pilots and go-lives, and coordinate dependencies across engineering and design teams.

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.

Lead a technical program across 55+ production services while personally designing and building AI-agent-driven automation to streamline operational processes. You'll own program execution (scope, milestones, cross-functional coordination, executive reporting) alongside hands-on delivery of automation solutions including ticketing, reconciliation, telemetry, and workflows.…See more The role requires 7+ years of technical program management in platform/infrastructure environments plus proven ability to personally ship automation (API integrations, dashboards, AI-agent tools). You'll establish AI governance, validation controls, and human-in-the-loop processes to ensure automation is reliable, auditable, and maintainable.

Staff Inbound Product Manager for ServiceNow University, responsible for defining and executing product strategy across AI-powered learning experiences. The role involves leading product discovery across personalization, conversational AI, recommendations, and search capabilities; partnering with Engineering, Architecture, and Design to deliver enterprise-grade features; and translating learner and business needs into technical requirements.…See more Requires 8+ years of product/technical product management experience with strong expertise in enterprise platforms, AI technologies (LLMs, agents, conversational systems), and complex system integration.

This role combines prompt engineering expertise with AI system governance and enterprise adoption strategy. The engineer will optimize LLM performance across platforms (OpenAI, Anthropic), design and configure AI agents and chatbots with knowledge grounding, and establish prompt governance frameworks and best practices.…See more Success requires 5+ years in AI/ML systems, 2+ years of hands-on prompt engineering, and demonstrated ability to evaluate AI performance, manage knowledge systems, and guide enterprise clients through AI tool adoption and deployment.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application, OS, networking, and hardware layers. Must have 5+ years of professional experience with Python, modern front-end frameworks, RESTful APIs, Linux (RHEL preferred), containerization (Podman/OCI), Ansible automation, and Git.…See more Role emphasizes independent ownership of features from requirements through testing, strong debugging across system and software components, and integration with external systems and hardware interfaces.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application software, operating systems, networking, virtualization, and hardware interfaces. The role requires 5+ years of professional software development experience with proficiency in Python, modern front-end frameworks, RESTful APIs, Linux administration, containerization (Podman/OCI), Git, and configuration automation (Ansible).…See more Strong emphasis on independent ownership of features from requirements through implementation and testing, with preferred experience in LLMs, generative AI, agentic workflows, and AI-tool integration for engineering tasks.

Design and implement AI-powered engineering productivity solutions, including agentic workflows and automation platforms for large-scale software development organizations. Develop frameworks for AI-assisted debugging, triage, and root cause analysis while building engineering dashboards and operational metrics.…See more Architect and scale engineering automation across the software development lifecycle, partnering with platform and product teams to identify high-value opportunities. Mentor engineers and drive adoption of generative AI and LLM technologies within enterprise software engineering workflows.

Design, build, and maintain secure enterprise data platforms supporting AI/ML workloads, with responsibility for database optimization, CI/CD automation, and DoD compliance. Mentor junior engineers and provide technical leadership on architecture decisions.…See more Implement security controls aligned with NIST 800-53, RMF, and DISA STIG standards throughout the platform lifecycle. Develop ETL/ELT pipelines, support data lakes and lakehouses, and evaluate emerging data technologies for mission fit.

Lead the design, development, and support of enterprise automation solutions across the Microsoft ecosystem, including Microsoft Intune, Microsoft 365, Entra ID, Azure Automation, Power Platform, Copilot Studio, and Azure AI. The role requires deep expertise in Microsoft cloud technologies and hands-on experience building scalable automation solutions using PowerShell, Azure Functions, Logic Apps, Microsoft Graph API, and AI-driven workflows.…See more Responsibilities include endpoint management, Microsoft 365 administration automation, Power Automate/Power Apps design, Azure AI integration, and operational reporting. The ideal candidate has 5+ years of enterprise Microsoft cloud experience and a passion for reducing manual effort through intelligent, secure automation.

Founding Product Engineer to build a greenfield Physical AI product for fleet safety and operations. The role spans full-stack development across cloud infrastructure (AWS, containers, CI/CD), multi-tenant backend systems with RBAC and SSO, real-time dashboards, compliance analytics, and AI-agentic features for alert triage and coaching workflows.…See more You'll own end-to-end problems from edge devices to cloud to user experience, shipping fast with direct customer feedback, and working across backend (Go, Python, Java), frontend (TypeScript/JavaScript), infrastructure, and AI integration. Requires 7+ years of software engineering with demonstrated range across multiple technical disciplines.

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.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Senior D365 F&O Developer responsible for designing, developing, and supporting Microsoft Dynamics 365 Finance & Operations enhancements and extensions, with a focus on Manufacturing and Supply Chain modules in a validated life sciences environment. The role involves leading ERP implementation initiatives, AI-driven solutions (Copilot, AI Agents), system integrations with Salesforce, Azure, warehouse management systems, and eCommerce platforms, and managing D365 biannual release upgrades including testing and deployment.…See more Requires 3+ years of D365 F&O extension development experience and 5+ years managing cloud-based D365 ERP implementations, with strong expertise in X++, data entities, OData/REST APIs, and life sciences compliance (ISO 13485).

This Technical Program Manager role manages the integration of Agentic AI into Qualcomm's engineering infrastructure, focusing on governance, security, and platform enablement. You will coordinate across GSOC, Qualcomm AI Foundations, Cybersecurity, and engineering teams to define requirements, track milestones, and align roadmaps for AI asset management and deployment.…See more The position requires driving cross-functional initiatives that bridge AI platform capabilities with security, compliance, and operational readiness while communicating progress to technical and executive stakeholders.

Lead Qualcomm's GenAI transformation for embedded and software engineering, building reusable AI agents, agentic workflows, and developer productivity tools that scale across teams. Partner with platform and engineering teams to establish secure AI practices, governance models, and metrics while serving as a technical thought leader who shapes the organization's transition to AI-native engineering workflows.…See more Requires Principal-level technical leadership with deep expertise in generative AI, LLM-based systems, and hands-on experience deploying GenAI solutions in complex engineering environments. Collaborate on code generation, code review, test automation, and release readiness use cases while driving measurable productivity and quality improvements.

Design and implement security strategies for Abbott's cloud-based applications and medical devices, including hardening, incident response, penetration testing, and disaster recovery. Apply expertise in user authentication, certificate management, digital signatures, and cloud security architecture while ensuring compliance with ISO, FDA, and regulatory standards.…See more Leverage AI-assisted development tools and cybersecurity platforms to automate vulnerability analysis, evidence collection, and remediation tracking. Conduct hands-on web, mobile, and cloud infrastructure security testing using DAST, SAST, SCA, and vulnerability scanning tools, with demonstrated experience in product security and medical device environments preferred.

Senior technical consultant role focused on ServiceNow Enterprise Service Management (ESM) implementation and AI-enabled transformation. Candidates will advise clients on process optimization, lead requirements and design workshops, and connect ServiceNow AI capabilities (Now Assist, AI Agents, agentic workflows) to business outcomes.…See more The role requires 2–4 years of ServiceNow project experience, ServiceNow CSA/CAD certification plus one implementation-specialist certification, and 3+ years of Big 4 or equivalent consulting experience.