agentic-workflows 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.

Lead the design and implementation of enterprise security enforcement technologies, including SIEM platforms, endpoint security, threat detection, and incident response systems. Develop and maintain a forward-looking cybersecurity technology roadmap aligned with NIST frameworks and business objectives, evaluating emerging threats and technologies to strengthen organizational security capabilities.…See more Conduct threat hunting, penetration testing, and detection engineering activities while driving automation of security controls, policy enforcement, and response across complex technology environments. Mentor cybersecurity teams and influence enterprise security strategy across large organizations, with demonstrated experience securing AI-enabled solutions and understanding AI-specific security considerations.

Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.…See more The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.

A senior full-stack engineer at Telesis Bio will design and maintain Python-based microservices using FastAPI and Docker, lead the architectural migration from Django REST Framework to FastAPI, and help transition the frontend from React to Python-native, server-driven UI patterns (Datastar/HTMX). The role requires deep full-stack Python proficiency, experience integrating LLMs and AI APIs into production, and the autonomy to take loosely defined problems, frame them clearly, and drive technical decisions across backend services and frontend interfaces.…See more You'll work hands-on with REST APIs, relational databases (PostgreSQL), TDD, CI/CD, and Docker while collaborating with cross-functional stakeholders and less senior engineers in an Agile Scrum environment.

Qualcomm's Location Technology team seeks a Senior Engineer to validate and commercialize next-generation positioning solutions (GNSS, Assisted GNSS, cellular, Wi-Fi, sensor fusion) across mobile, automotive, wearables, XR, and IoT platforms. The role focuses on system-level test strategy development, log/trace analysis, and root-cause debugging of complex multi-sensor location systems.…See more A key expectation is building automation tools, data-analysis pipelines, and AI-assisted workflows to accelerate test development, log analysis, KPI evaluation, and reporting. The candidate will collaborate with systems, software, algorithms, and product teams to drive feature commercialization and continuous engineering productivity improvements.

Qualcomm seeks a Machine Learning Engineer to design, develop, and deploy generative AI solutions focused on Large Language Models, Retrieval-Augmented Generation (RAG), and intelligent agent systems. The role involves implementing RAG-based solutions, optimizing LLM fine-tuning strategies, building evaluation frameworks, and maintaining agentic workflows for autonomous AI systems.…See more The candidate must have strong Python programming skills, practical LLM deployment experience, and familiarity with ML frameworks like PyTorch and TensorFlow, alongside knowledge of vector databases, cloud platforms (AWS, GCP, Azure), and modern MLOps infrastructure.

Sr. Staff IT Enterprise Architect will define integration standards and architectural decision frameworks across AppFolio's platforms (MuleSoft, AWS, Workato), promoting API-first and event-driven design.…See more The role partners with engineering teams to advance observability, reliability, and modern integration practices, while advising on AI-enabled capabilities and emerging technologies. Requires 10+ years of software engineering or integration architecture leadership with 8+ years designing enterprise integration solutions, hands-on platform experience, and demonstrated ability to influence across cross-functional teams without direct authority.

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.

Build and own the software layer connecting Fabric8Labs' electrochemical 3D printers to operators and business systems. Design PostgreSQL schemas and write Python backend services that interact with printers and edge devices in real time, build production dashboards and operator interfaces, and create integrations between shop-floor systems and ERP for work order flow, material tracking, and production reporting.…See more You'll work hands-on with hardware engineers, materials scientists, and operators to solve manufacturing workflow problems with direct, immediate feedback. The role requires 4+ years shipping production software, strong Python and PostgreSQL expertise, Linux proficiency, and JavaScript for UI—with a focus on understanding customer needs and building reliable, traceable systems.

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.

Staff-level engineer responsible for designing and executing subsystem integration testing (SSIT) strategy for Qualcomm's Delegates ML inference framework. Develops and maintains Python/PyTest-based automated test suites integrated into CI pipelines, triages failures across the ML framework, QNN runtime, and HTP hardware stack, and owns the technical handoff criteria and traceability to downstream QA/SIT teams.…See more Leverages AI-assisted tooling (Claude Code, GitHub Copilot) to accelerate test generation and failure analysis. Mentors junior engineers and sets team standards for test coverage, debugging discipline, and documentation.

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.

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.

SHEIN is seeking a Senior Data Engineer to build and productionize GenAI/LLM solutions for data engineering workflows, including code assistance, metadata discovery, and knowledge access. The role focuses on developing RAG and agentic workflows, automating incident triage and log analysis, and integrating AI capabilities into internal developer tools and services.…See more You'll own scoped projects from problem definition through production support, requiring 3+ years of hands-on production experience with strong Python/SQL fundamentals, proven GenAI/LLM application development, and practical knowledge of databases, APIs, data pipelines, and distributed systems.

Build production AI features and services using foundation model APIs, retrieval-augmented generation (RAG), and agentic workflows. You will implement scalable microservices in Python or Java, develop evaluation and quality frameworks for AI systems, and collaborate across teams to integrate AI capabilities into enterprise workflows.…See more The role requires hands-on applied AI experience, strong backend or platform engineering skills, and familiarity with vector databases, LLM orchestration tools, and cloud infrastructure.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

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.