generative-ai jobs in San Diego

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.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

Design and deploy generative AI solutions across firmware, embedded OS, and toolchains to automate workflows and optimize code. Partner with software, silicon, and DevOps teams to integrate AI copilots, code analysis, and test generation into existing development pipelines.…See more Evaluate AI models, develop scalable inference services, and measure their impact on developer productivity. Drive best practices for secure and compliant AI adoption in a fast-paced environment.

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 large-scale enterprise data transformation programs at Qualcomm, managing multi-year initiatives across data modernization, cloud migration, and analytics platforms. Coordinate work across distributed data engineering, architecture, governance, security, and analytics teams while managing multi-million-dollar budgets and vendor relationships.…See more Drive adoption of modern data architectures (data lakehouse, data mesh, medallion patterns) and cloud platforms (Databricks, AWS, Azure, GCP), and establish federated data governance frameworks. Influence executives and technical stakeholders to deliver measurable business outcomes while handling legacy system retirement and enterprise data integration from CRM, ERP, HCM, and supply-chain systems.

The Senior Security AI Risk Analyst will assess and secure AI-enabled systems at Sony Interactive Entertainment, identifying material security risks, control gaps, and data classification issues. The role requires translating findings into actionable recommendations, partnering with Responsible AI & Governance and security teams, and maintaining a portfolio view of emerging AI security trends.…See more Candidates must have 6+ years securing technical systems with recent hands-on generative AI experience, strong knowledge of modern AI stacks, and the ability to interrogate designs, trace data flows, and identify security weaknesses in LLM and agentic systems. The position demands both deep security fundamentals (identity, permissions, data protection, monitoring) and a practical builder mindset to use tooling, APIs, and automation to explore and improve systems.

A forward-deployed engineer who builds and deploys AI/GenAI-powered solutions on Databricks and cloud platforms for forensic discovery and financial crime clients. The role requires hands-on expertise in Databricks, cloud services (AWS/Azure/GCP), and production AI/LLM systems, combined with the ability to lead client engagements, translate business requirements into technical architectures, and troubleshoot integration issues across enterprise environments.…See more You will design reusable assets, document workflows, and enable client teams to sustain delivered solutions while navigating security, compliance, and privacy reviews.

Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.…See more Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

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.

The AI SW Integration Engineer will develop backend tools and services that automate test generation, improve requirements traceability, and streamline engineering workflows across teams. The role requires strong expertise in generative AI and large language models (LLMs), with hands-on experience designing and deploying agentic AI systems end-to-end.…See more You will integrate tools and databases via REST APIs, parse structured documents, and build automation solutions using Python and CI/CD pipelines. The ideal candidate brings 3–5 years of production experience developing automation or integration tools, plus familiarity with RAG, MCP, and requirements management workflows.

Principal System Lead responsible for translating AI-driven use cases into scalable, power-efficient implementations on Qualcomm's mobile SoCs. The role spans the full AI stack—generative AI, diffusion models, on-device inference, and camera-centric workloads—requiring deep knowledge of AI software frameworks and optimization across performance, latency, memory, and power constraints.…See more You will define system-level architectural enhancements for AI accelerators, CPUs, GPUs, and memory subsystems, working across hardware, software, and platform teams to align designs with OEM product roadmaps. The position demands 8+ years of semiconductor product development experience, 5+ years in technical leadership, and strong ability to solve complex AI system challenges through quantitative analysis and cross-functional collaboration.

Full-time software engineer to design, develop, and test AI-assisted web-based applications that integrate with custom embedded systems. The role requires proficiency in multiple programming languages (Python, JavaScript/TypeScript, Go, C/C++, Rust, C#), Linux systems, web-based UI development, and network software engineering (TLS/HTTPS).…See more Responsibilities include writing requirements and specifications, executing tests, and interfacing with customers on requirements and design reviews. Must be U.S. citizen able to obtain and maintain a DoD security clearance.

Staff Machine Learning Engineer to drive AI/ML-based automation across Qualcomm's Automotive SoC Cybersecurity and Safety engineering. The role focuses on building intelligent, scalable solutions using LLMs, GenAI, and agentic AI systems to streamline cybersecurity workflows, functional safety processes, and silicon verification.…See more Responsibilities include designing end-to-end ML pipelines, developing document-understanding and review-automation systems, and applying AI to security analysis and compliance monitoring across the product development lifecycle. Required: strong ML/AI background, Python or C++ proficiency, production ML experience; preferred: knowledge of automotive standards (ISO/SAE 21434, ISO 26262), hardware security, or RTL/verification workflows.

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.

Develop, optimize, and validate AI/ML solutions that leverage Qualcomm's AI inference accelerators for data center and hybrid applications. Design and implement GenAI and LLM applications, perform model benchmarking, optimize deployment strategies, and drive system-level architecture decisions.…See more Apply deep expertise in ML frameworks, system performance profiling, and parallel computing to ensure best-in-class inference performance, power efficiency, and scalability across heterogeneous hardware.

The Jr. Commercial QC & AI Automation Analyst executes first-line quality control reviews for Commercial Lending programs while building hands-on skills with AI-assisted and automated review tooling.…See more The role involves testing and validating automated workflows built in Claude, Claude Skills, Claude Code, and n8n; translating manual review checklists into structured review logic; and documenting processes and automation outcomes. The candidate will support business process analysis, help design AI-augmented workflows, and grow into greater automation ownership as skills develop. Requires a Bachelor's degree, 0–2+ years in QA/audit/operations/business analysis, strong analytical and documentation skills, comfort with GenAI tools, and preferably exposure to scripting, programming, or low-code automation platforms.

As a Machine Learning Engineer at Qualcomm, you will design, develop, and deploy AI and Generative AI solutions for the Nimbus product line, focusing on network optimization, Digital Twin technologies, and LLM-based applications. You will collaborate with cross-functional engineering, product, and domain teams to translate business requirements into production-ready AI-enabled solutions, staying current with emerging AI technologies and best practices.…See more The role requires hands-on experience with model development, evaluation, deployment, and operationalization, along with strong software engineering practices for scalable and maintainable systems. You must communicate technical concepts effectively to both technical and non-technical audiences.

Staff or Senior Staff Software Engineer role leading design and development of Qualcomm's AI Stack (QAIRT/Genie) to enable efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Responsibilities include developing core runtime components for resource-constrained inference systems, optimizing performance/accuracy/power consumption, debugging complex issues, and mentoring junior engineers.…See more Requires 5–8+ years of software development experience with strong C/C++ and Linux proficiency, plus knowledge of hardware acceleration and embedded AI deployment.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Design and architect AI/ML platforms optimized for Qualcomm's hardware (GPU/NPU) and software stack, with focus on end-to-end performance analysis, algorithm tuning, and system bottleneck reduction. Analyze ML workloads across Computer Vision, Audio, Generative AI, and Agentic AI domains; correlate device performance against pre-silicon predictions; and develop reference implementations and tools for third-party developers.…See more Requires 15+ years in high-performance computing systems engineering or software with 5+ years in AI system optimization, strong expertise in AI frameworks and performance profiling, and ability to lead cross-functional teams and articulate complex technical concepts.

As a Salesforce Consultant, you will partner with business and clinical/operations stakeholders to translate patient and provider support needs into scalable Salesforce solutions. You will elicit and document business requirements, manage requirements through delivery, and drive functional design across patient support workflows.…See more The role requires 2+ years of consulting experience and 2+ full life-cycle Salesforce implementations, with expertise in at least one Salesforce cloud (Sales Cloud, Service Cloud, Experience Cloud, or Health Cloud).

Build and deploy production-grade AI models that power Petco's e-commerce platform, including personalized recommendations, demand forecasting, and price optimization. Design and maintain robust MLOps pipelines for automated model retraining, monitoring, and 24/7 reliability across web and mobile.…See more Partner with Software Engineering and Mobile teams to integrate AI features into production systems, and mentor junior engineers on ML engineering best practices. Experiment with emerging technologies like Generative AI and LLMs to drive business impact.

A strategic QA leadership role responsible for defining and executing comprehensive QA strategy across manual and automated testing, with emphasis on AI-enabled Quality Engineering and modern CI/CD integration. The manager will drive adoption of AI-assisted test design, resilient automation patterns, and continuous quality monitoring while leading QA teams, establishing quality standards, and ensuring compliance in a regulated financial services environment.…See more Key responsibilities include building actionable quality metrics dashboards, embedding security testing into pipelines, managing defect lifecycle, and partnering with Engineering and DevOps to enforce release gates and SDLC adherence.