ai jobs in San Diego

Design, code, and maintain complex SQL stored procedures and functions while performing data analysis, profiling, and validation tasks. Optimize database performance through tuning of stored procedures, tables, and indexes, and create SSIS packages for data transformation and staging.…See more Collaborate with technical and business teams to understand requirements, troubleshoot production database issues, and ensure data quality through defined testing and validation methods. Participate in code reviews for compliance with coding standards and best practices.

Senior Software Engineer role owning the design and delivery of a next-generation reliability platform for Affirm's production systems. You'll blend distributed systems engineering with AI-assisted development to help teams understand, debug, and improve service health.…See more Responsibilities include delivering quarterly team goals, leading engineers through ambiguous problems, collaborating with product and design, setting code review and design standards, and developing team talent. Required experience includes 4+ years as a software engineer, backend systems design at scale (Python, Kotlin, AWS, MySQL, Kubernetes), practical LLM/AI framework use, and high-quality code authorship.

Lead a technical engineering team at the intersection of AI, cybersecurity, and cloud platforms. Design and implement secure AI architectures, cloud security solutions, and DevSecOps practices while mentoring engineers and building reusable reference architectures and playbooks.…See more Require 6+ years of hands-on experience in software engineering, AI engineering, cybersecurity, or cloud security, with demonstrated proficiency in at least one major AI platform (Claude, OpenAI, Gemini, Bedrock, or Vertex AI) and cloud application development in Python, TypeScript, JavaScript, Go, or Java.

Senior Consultant leading AI and cloud security architecture design, implementation, and operational handoff for enterprise clients. Responsibilities include client discovery, technical workshops, architecture reviews, and creating reusable reference architectures and security standards.…See more Requires 3+ years of hands-on software/AI/cloud security experience, proficiency in at least one major LLM platform (Claude, OpenAI, Gemini, Bedrock, Vertex AI), and expertise in secure application development, DevSecOps, cloud security architecture, or AI security controls using Python, TypeScript, JavaScript, Go, or Java.

Solution Architect role designing end-to-end digital and AI product architectures for supply chain and managed services. Translates business requirements into scalable technical designs, defines enterprise system integrations and API strategies, and evaluates technology trade-offs across cost, speed, risk, and scalability.…See more Requires 7+ years in solution/systems architecture and 3+ years solutioning API integrations; preferred experience includes AI, machine learning, analytics, cloud-native architectures, and data governance.

Lead a team of AI/ML engineers building autonomous medical coding solutions that process millions of clinical charts daily. Translate emerging advances in machine learning and LLMs into production-ready systems, define engineering strategy for ML/LLM-powered products at scale, and ensure systems meet stringent requirements for accuracy, reliability, privacy, security, and explainability.…See more Partner across data science, clinical, compliance, and software engineering teams to architect scalable inference pipelines, establish evaluation frameworks, and integrate AI capabilities into SaaS products. Requires 6+ years of AI/ML engineering experience, 2+ years leading technical teams, and hands-on expertise in production ML pipelines, LLMs, RAG, and MLOps platforms.

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.

Qualcomm's GPU Research Team seeks GPU architects to design next-generation GPU hardware architectures for AI, ML, and GPGPU computing across mobile, Windows on Snapdragon, and data center platforms. The role involves collaborating with software and hardware teams to develop architectural solutions, optimize for workloads like large language models and vision models, and contribute to open-source GPU/ML projects.…See more Required skills include strong GPU architecture knowledge, proficiency with APIs (OpenCL, CUDA, Vulkan, Direct3D 12), and C/C++ programming; hands-on CUDA kernel optimization and familiarity with frameworks like llama.cpp or vLLM are highly valued.

Senior consultant leading data management strategy execution and architecture design for finance applications, with focus on machine learning and generative AI integration. Responsible for defining data requirements, designing extensible common information models, and developing the FDL Blueprint solution offering.…See more Will mentor junior consultants, collaborate across service lines, and establish data governance frameworks while staying current with emerging technologies in Azure, ML, and Gen AI.

Lead a team of engineers building AI-driven distributed systems solutions for enterprise clients as a Manager in Application Design and Development. You will translate business requirements into technical architecture, guide teams through full-stack development (frontend, backend, APIs, data visualization), and apply machine learning and generative AI to real-world problems.…See more The role spans frontend frameworks (Angular, TypeScript, JavaScript), backend services (Java, Python, FastAPI, microservices), databases (PostgreSQL), cloud platforms (Azure), and modern DevOps practices (CI/CD, TDD). You'll work in agile delivery, manage technical talent, and teach clients how to build and scale commercial software.

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.

This is a Principal cloud architect role for AWS focused on healthcare and life sciences customers. The role requires 7+ years of experience with data and AI technologies (ML, GenAI, analytics, databases), deep knowledge of AWS services (SageMaker, Bedrock, Neptune, Redshift, S3), and proven ability to shape large-scale AI and data transformation programs in pharma/biotech R&D and clinical development.…See more Responsibilities include technical pre-sales, solution architecture, opportunity shaping, and translating complex data architecture concepts for both scientific and executive stakeholders. The ideal candidate has domain expertise in R&D data ecosystems, regulatory frameworks (GxP, 21 CFR Part 11, HIPAA, GDPR), and data standards (FHIR).

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.

As a Technical Program Manager intern, you will drive end-to-end execution of program deliverables across product, engineering, and business teams at Intuit. You'll establish operating rhythms, facilitate cross-functional alignment, manage trade-offs between stakeholder needs, and help resolve setbacks while maintaining program momentum.…See more The role emphasizes balancing quality, speed, and accountability while coordinating visibility for annual planning cycles. You should have familiarity with AI tools, understanding of software development lifecycle (SDLC) methodologies, and demonstrated ability to independently manage complex projects with strong communication and stakeholder influence.

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.

As an SDET III, you will lead testing strategy and automation efforts for large-scale client programs, interfacing between clients and Deloitte delivery teams. You'll define and execute comprehensive testing solutions across system integration, UAT, performance, API, and cloud environments, using a combination of commercial tools (MicroFocus UFT, Rational) and open-source frameworks (Selenium, Cucumber, REST Assured).…See more The role requires 6+ years of consulting or industry experience, 4+ years leading testing programs, 2+ years managing onshore/offshore teams, and hands-on scripting expertise. You'll apply AI/LLM evaluation skills and prompt engineering to generate and refine automated test scripts, with preferred exposure to machine learning, NLP, and AI-assisted defect analysis.

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.

An internship role for students pursuing degrees in computer science, AI, machine learning, or related fields to gain hands-on experience building and testing AI solutions under mentor guidance. The intern will work with approved AI tools, APIs, and development environments to prototype components, scripts, and integrations while learning secure, responsible AI practices.…See more Responsibilities include participating in user discussions, building small prototypes, running tests, documenting results, and contributing to starter kits and project documentation.

Design, implement, and test C++ and Python features for autonomous UAV software, including embedded firmware for real-time flight control, autonomy algorithms (planning, perception, multi-agent coordination), and sensor integration. Develop unit and integration tests, work with simulation and hardware-in-the-loop testing, and collaborate across electrical and mechanical engineering teams to validate software requirements and integrate capabilities across platform interfaces and command-and-control systems.See more

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.

This role bridges sales and delivery for financial services clients, requiring someone who can translate technical AI/ML and data capabilities into business outcomes without writing code. The person will maintain reusable delivery assets, run workshops and demos, scope technology implementations alongside engineering teams, and operate as a trusted advisor who understands both client pain points and product capability.…See more Success demands fluency in financial services (banking, insurance, investment management), customer data platforms, data segmentation, and emerging AI/LLM use cases, paired with strong executive communication and the ability to manage multiple concurrent engagements within defined scope and timeline guardrails.

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.