agentic-ai jobs in San Diego

This is a junior-level, onsite rotational program at Axos Bank's Consumer IT AI Team for someone with a CS or related degree and Python/JavaScript experience. You'll work on production AI agents from day one under senior mentorship, learning prompt engineering, building integration code connecting AI systems to platforms like GitHub and Azure DevOps, constructing Model Context Protocol (MCP) servers, and maintaining AI plugins and documentation.…See more You'll write unit tests, participate in code reviews and CI/CD workflows, and contribute to internal documentation while building SDLC fluency through sprint ceremonies.

The AI Scientific Software Engineer will develop MARIE, an AI-powered scientific companion within BIOVIA's Pipeline Pilot platform, focusing on prompt engineering, agentic AI frameworks, and AI safety mechanisms. Responsibilities include designing and iterating on prompts for improved reasoning and factuality, building multi-step agentic workflows with tool calling and memory management, and implementing guardrails and validation systems.…See more The role requires a PhD in Life Sciences or Computer Science with 3+ years of software development experience, strong LLM fundamentals knowledge, hands-on experience with RAG systems and frameworks like LangChain/LangGraph, and familiarity with pharmaceutical and biotech workflows.

Senior Snowflake Forward Deployed Engineer who builds AI-enabled solutions and agentic platforms for enterprise clients, with 7+ years of software/data engineering experience and 1+ years of hands-on GenAI/LLM deployment. Will design and deliver production-quality code using strong testing, CI/CD, and documentation practices, lead project workstreams translating business problems into AI solutions, and mentor other engineers through design reviews and reusable component contributions.…See more Must hold or be able to obtain a US government security clearance and have current SnowPro Core Certification, with hands-on experience in Snowflake Cortex AI, LLM Functions, Agents, or Arctic Embed.

Design and build production-ready agentic AI applications that automate mission-critical workflows. You will implement agent orchestration frameworks, tool-calling patterns, and multi-agent interactions using LLM platforms like AWS Bedrock and OpenAI, working in fast 4-week prototype cycles with a small high-performing team.…See more The role requires end-to-end technical ownership from design through deployment, including prompt engineering, retrieval patterns (RAG/GraphRAG), and observability implementation. You'll collaborate with product leads and solution architects to deliver reliable, cost-effective agent-based solutions that solve client challenges.

Staff Engineer role focused on architecting and developing full-stack applications with AI-native development at its core. Responsibilities include designing RESTful APIs, managing databases, and critically—directing AI coding agents (Claude, Cursor, Copilot) across the delivery lifecycle, including prompt engineering, agent workflow design, and tracing/debugging agent outputs.…See more Requires 8+ years with complex codebases, full-stack expertise (Java/Go/Python, React, REST APIs), and demonstrated proficiency using AI coding tools as a primary delivery vehicle, not just a helper.

Design and develop sample AI applications for Windows on Snapdragon, covering diverse AI models and use cases with performance/accuracy diagnostics. Contribute features to the Qualcomm AI toolkit, evaluate agentic AI platforms across devices, and develop hybrid local/cloud AI experiences.…See more Interface with third-party developers and cross-functional teams to create documentation and specifications that enable external application development.

Lead enterprise data and AI architecture engagements at Deloitte, designing end-to-end Snowflake solutions for finance teams. You'll architect data pipelines, governance, ML/AI systems, and semantic models using Snowflake, Python, Snowpark, and Cortex AI.…See more The role combines technical leadership—guiding SQL/Python pipeline design, data quality, and MLOps—with client management, mentoring, and delivery accountability across planning, forecasting, close, and reporting use cases.

You will develop AI-powered scientific software for MARIE, an AI companion within BIOVIA's Pipeline Pilot platform serving pharmaceutical and biotech researchers. The role focuses on prompt engineering, agentic AI frameworks, and AI safety mechanisms—designing and optimizing LLM-based workflows for multi-step scientific tasks.…See more You'll implement RAG systems, semantic search, vector databases, and guardrails while collaborating across engineering, QA, product, and technical teams using Agile practices. The position requires a PhD in Life Sciences or Computer Science, 3+ years of software development, and hands-on experience with LLMs, agentic frameworks like LangChain, and prompt optimization.

Build and ship agent-based AI verification workflows from proof-of-concept to production, designing test cases for non-deterministic agent behavior and hardening code for quality, observability, and cost. Own your slice of the SDLC—implementation, testing, deployment—while building data ingestion pipelines on AWS and collaborating with Product and senior engineers to translate business requirements into features.…See more Requires 2–4 years of software engineering experience, strong Python or backend language skills, SQL/NoSQL knowledge, and hands-on experience building LLM-based projects that call tools, chain steps, or coordinate multiple operations.

The PXM Business Analyst elicits, documents, and validates requirements for Product Information Management (PIM) solutions, focusing on product data flows, content lifecycles, and business process alignment. The role involves translating stakeholder needs into user stories, acceptance criteria, and functional documentation while supporting data migration, UAT planning, and requirements traceability.…See more Key responsibilities include analyzing current-state processes, documenting attribute definitions and field mappings, and staying current on GenAI and Agentic Commerce solutions for automating product content supply chains. The analyst works collaboratively with technical teams and PXM Functional Leads to ensure business needs are accurately reflected in solution design.

Build and ship agentic AI capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning the full software development lifecycle, implementation, testing, and deployment. Harden proof-of-concept agent code into production-grade quality with strong error handling, observability, and testing.…See more Design test cases and evaluation checks for non-deterministic agent behavior, and build data ingestion pipelines using AWS and big-data tooling. Contribute to production support including monitoring, alerting, and incident response for an AI-driven service.

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 Staff Engineer leading the development of embedded AI software and runtime systems for on-device machine learning inference and training on Qualcomm hardware. Responsibilities include designing and optimizing ML/AI frameworks, compiler technologies, and runtime software for performance and power efficiency; developing agentic AI and novel ML solutions; and providing technical leadership across a multidisciplinary team.…See more Requires 6+ years of software/hardware/systems engineering experience, strong C/C++ and Python capabilities, deep embedded systems knowledge, and expertise in low-level OS-hardware interactions and ML optimization domains like NLP and multimedia.

Advanced manager and technical consultant designing and implementing enterprise-scale AI solutions spanning classical ML, generative AI, and agentic AI systems. Responsibilities include architecting AI-powered applications for business transformation (customer service, supply chain, finance, HR, operations), building RAG and autonomous agent workflows, developing ML pipelines, and establishing governance and observability frameworks.…See more Requires 8+ years in AI/ML/data science with 5+ years hands-on experience with Claude, GPT, LLMs, agentic frameworks, and RAG systems, plus deep expertise in prompt engineering, vector databases, and multi-agent architectures.

Lead UI Engineer responsible for hands-on technical design and development of iOS, Android, and web applications for a cloud-native FinTech banking platform. Will lead and mentor a global UI engineering team while building high-quality, responsive user interfaces that solve complex multi-tenant architecture problems.…See more Requires 5+ years of mobile and/or web development experience in Swift, Kotlin, React Native, Angular, or Xamarin, with deep knowledge of HTML/CSS/JS, Git workflows, REST APIs, CI/CD pipelines, and mobile testing approaches. Should demonstrate expertise in schema-driven UI frameworks, secure coding, and agile/scrum methodologies.

Lead functional design and deployment of Product Information Management (PIM) platforms, translating business requirements into data models, workflows, and governance structures. Own product data modeling decisions including attributes, hierarchies, variants, and localization, and serve as the primary bridge between business stakeholders and technical delivery teams.…See more Drive solution configuration, integration with DAM/ERP/commerce/syndication systems, and adoption planning while staying current with Agentic Commerce and GenAI applications in product content automation.

Serve as a forward-deployed technical engineer for banking clients, acting as the primary technical point of contact and architect advisor. Design and prototype scalable microservices and cloud-native solutions, conduct discovery sessions and deep-dive technical workshops, and build production-ready POCs that demonstrate platform value.…See more Translate complex architectures and emerging AI/ML patterns into clear guidance for both technical and non-technical stakeholders, while gathering customer feedback to inform product strategy. Requires 5+ years of software engineering with significant client-facing experience, deep expertise in Java, Spring Boot, microservices architecture, multi-cloud deployment (AWS primary), Kafka-based event-driven systems, and hands-on knowledge of LLM integration and agentic AI frameworks.

Lead a client-facing solutions engineering role focused on data products and AI/ML integration within financial services. You'll conduct discovery sessions, translate complex architectures into clear narratives, and work hands-on with implementation teams to structure, configure, and publish data products using SQL, Python, and cloud platforms.…See more You'll enable client teams to self-serve data product creation, run training and office hours, and surface product gaps and feature requests back to internal teams while managing multiple concurrent client engagements.

Senior manager role leading OSS (Operations Support Systems) reinvention and modernization for telecommunications service providers. Combines telecom and OSS architecture expertise with AI, automation, and consulting leadership to help clients transition toward autonomous network operations.…See more Responsibilities span strategy, solution architecture, and implementation across service inventory, fulfillment, provisioning, assurance, fault management, and network automation. Requires 10+ years in telecommunications or technology consulting with deep hands-on experience in OSS platforms (Amdocs, Netcracker, Ericsson, Nokia, etc.) and strong knowledge of AI/ML, cloud-native architectures, and TM Forum frameworks.

As Production Support Lead for ClaimBeacon, a Deloitte AI-powered claims platform integrated with Guidewire, you'll own L3 production support — reproducing and resolving application bugs, data pipeline failures, AI agent issues, and small enhancements. You'll troubleshoot across the full stack (Java, Python, Flutter, AWS), use logs and monitoring to find root cause, ensure data and AI governance compliance, and decide when to escalate versus fix directly.…See more The role demands 5+ years of production support or software engineering experience, with proven end-to-end ownership of live issues, and strong exposure to agentic AI, DevOps, SQL, and insurance platforms like Guidewire.

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 a team of consultants building production AI/ML applications for cybersecurity, with hands-on responsibility for architecture, code review, and integration across SIEM, SOAR, EDR, and other security platforms. Own technical delivery, timelines, and budgets while mentoring engineers and staying engaged in pair programming and troubleshooting.…See more Work with frontier LLM providers to evaluate agentic systems, RAG pipelines, tool-calling agents, and evaluation harnesses for threat detection and incident response automation. Partner with client stakeholders to translate cyber capabilities into engineering requirements and support account growth through proposals, demos, and reusable delivery playbooks.

As L3 production support lead for ClaimBeacon, a Guidewire-integrated agentic AI platform, you'll own end-to-end troubleshooting and resolution of production bugs, data pipeline failures, AI agent issues, and small enhancements across the full stack (Java, Python, Flutter). You'll reproduce issues using logs and monitoring tools, decide what escalates to core engineering, and ensure fixes maintain data/AI governance and compliance standards.…See more The role requires 5+ years of software engineering or production support experience with proven end-to-end ownership of production issues, plus comfort working across frontend, backend, data, and infrastructure in a live, high-pressure environment.

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.

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.