ai jobs in San Diego

As an AI and Data Science Engineer III, you will translate business goals into machine learning use cases and model design approaches, perform exploratory data analysis to identify patterns and attribution opportunities, and apply clustering, sampling, feature transformation, and predictive modeling techniques. You'll build proofs of concept, validate solutions, and collaborate with clients and cross-functional analytics and data engineering teams throughout delivery.…See more The role requires 5+ years of industry experience applying data science or machine learning methods, with a bachelor's degree in a quantitative field such as engineering, mathematics, physics, machine learning, statistics, or computer science.

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.

Senior Director leading AI software architecture and strategy for Snapdragon mobile platforms, spanning computer vision, audio, and generative AI. Responsibilities include designing complex AI features, conducting cross-functional research and prototyping, serving as technical expert in commercializing solutions, and influencing external partners and roadmap strategy.…See more Requires 10+ years of semiconductor product development experience, 5+ years in technical leadership, and deep expertise in AI frameworks, mobile platforms, and heterogeneous system optimization.

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. Build unit and integration tests, validate software behavior through simulation and hardware-in-the-loop testing, and collaborate cross-functionally with electrical and mechanical engineers.…See more This is a new-graduate role requiring proficiency in C++/Python, strong fundamentals in data structures and algorithms, and ability to own well-scoped tasks with limited guidance.

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.

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.

Design and engineer novel enzymes using AI/ML and computational biology approaches. Apply protein language models, generative design methods, and structure-based machine learning to predict and optimize enzyme function.…See more Develop bioinformatics pipelines, analyze high-throughput screening and sequencing data, and create reusable tools and dashboards for cross-functional protein engineering teams. Requires 5+ years of related experience (or equivalent with advanced degree) and practical expertise in AI/ML applied to protein engineering.

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.

Lead data engineering and governance initiatives for enterprise clients, architecting AI-integrated data fabric solutions on cloud platforms like Snowflake, Databricks, and Azure Synapse. Design and deliver ETL/ELT pipelines, data integration strategies, streaming architectures, and metadata governance frameworks.…See more Requires 5+ years in data architecture, enterprise data engineering, or AI platform delivery, with hands-on expertise in cloud data platforms, data modeling, API/streaming design, and enterprise system integration (especially Salesforce). Contribute thought leadership and drive client engagements around enterprise data strategy and AI-ready platforms.

Staff Data Scientist leading analytics strategy for Intuit's Connected Accounts product, responsible for owning the analytics agenda end-to-end from account linking through engagement. The role requires applying ML and causal inference techniques to solve connected-accounts-specific problems, designing and running A/B tests and quasi-experimental designs, building member segmentation, and identifying AI/ML opportunities.…See more You will partner closely with Product, Engineering, and Design leadership on roadmap prioritization, mentor other data scientists, and use AI-native tools to synthesize analyses ranging from experiment readouts to churn deep dives.

As a Technical Manager, you will lead the architecture, engineering, and delivery of AWS-based cloud contact center and Generative AI solutions. You'll design scalable solutions using Amazon Connect, Lex, Bedrock, Lambda, and other AWS services, incorporating AI patterns like RAG and agent/tool calling.…See more You'll translate client requirements into technical architectures and integration designs, partnering with stakeholders from design through implementation, testing, deployment, and production support. This role requires 8+ years in technology consulting or cloud architecture, including 4+ years deploying production AWS solutions and designing cloud contact center platforms with Generative AI capabilities.

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.

Build and deploy AI/ML solutions for cybersecurity as a senior consulting engineer at EY. You will design frontier AI models, LLMs, and agentic architectures tailored to client security workflows, integrating them with SIEM, SOAR, EDR, and other security platforms.…See more You'll translate client use cases into engineering tasks, develop evaluation harnesses, build secure AI deployment pipelines, and deliver production-ready solutions with clear documentation and testing. The role requires 3–5 years of hands-on software engineering experience, proficiency in Python and cloud platforms (AWS/Azure/GCP), and demonstrated expertise in building or deploying AI/ML systems within security contexts.

Lead a specialized engineering team at the intersection of hardware, software, and AI, responsible for developing innovative Pixel sensor-based features. You'll manage software engineers building real-time embedded systems that leverage sensor signals for on-device AI experiences, requiring deep expertise in embedded software development, computer vision, signal processing, and ML infrastructure optimization.…See more The role demands 8 years of software development experience, 5 years in computer vision or signal processing with ML optimization, and 3 years in technical leadership with 2 years managing teams.

This role is a technical cloud architect for AWS Professional Services focused on Life Sciences and Manufacturing/Supply Chain customers. You will design and implement complex cloud solutions involving AI/ML, IoT, digital twins, supply chain optimization, and manufacturing data platforms — including CMC orchestration, MES/MOM modernization, and agentic supply chain deployments.…See more You'll drive solution architecture from prospecting through sales closure, translating regulatory and compliance requirements (cGMP, GxP, 21 CFR Part 11, FDA/EMA) into technical designs using AWS services like IoT SiteWise, IoT TwinMaker, Bedrock, SageMaker, and Supply Chain tools. The role requires 8+ years of cloud architecture, 7+ years in Healthcare/Life Sciences or Manufacturing industries, and deep expertise in Data & AI technologies, with a bachelor's degree in computer science, engineering, or a quantitative field.

Lead enterprise generative AI architecture and solution design on Oracle Cloud Infrastructure (OCI), focusing on agentic workflows, retrieval-augmented generation pipelines, and Oracle application integrations. Define governance, security, and compliance standards for AI/ML initiatives across the enterprise.…See more Mentor delivery teams on prompt engineering, model selection, and optimization; identify high-value AI use cases and guide pilot deployments that drive business outcomes.

As a Software Engineering Intern, you will design, develop, and test full-stack software applications across cloud, mobile, and SaaS environments. You'll collaborate with mentors and peer engineers on meaningful projects with business impact, contribute to code reviews, debug defects, and support deployment and maintenance.…See more The role emphasizes hands-on experience with best practices in software development, Agile methodologies, and exposure to AI and emerging technologies.

As an AI Science Intern, you will work alongside AI Scientists and Machine Learning Engineers to build, train, and evaluate machine learning and deep learning models on real-world datasets. Responsibilities include data gathering and ETL, feature engineering, model development using techniques like classification, regression, clustering, and neural networks, and designing experiments to measure impact.…See more You'll explore current AI/ML research including generative AI and LLMs, develop proofs-of-concept, and partner with cross-functional teams to translate insights into product features. The role requires strong Python and SQL skills, familiarity with core ML techniques and their mathematical foundations, and the ability to communicate findings to both technical and non-technical audiences.

As an AI and Data Science Engineer III, you will translate business goals into machine learning use cases and develop predictive models for marketing and advertising applications. You'll perform exploratory data analysis, apply clustering and feature transformation techniques, build proofs of concept, and validate solutions.…See more The role requires 5+ years of industry experience applying data science or machine learning methods, with a strong foundation in translating business requirements into model design approaches and collaborating across analytics and data engineering teams.

As an Autonomy Engineer focused on VLA (Vision-Language-Action) pre-training, you will train capable robotic policies using deep learning, including pre-training base models on multi-embodiment trajectory data, fine-tuning for specific tasks, and optimizing for real-time edge inference. You'll own the full loop from data collection and curation through deployment, partnering with data and MLOps teams to build continuous training pipelines that ingest synthetic data and teleop logs.…See more The role requires 3+ years building production deep-learning systems with hands-on experience in LLMs, VLMs, or generative models, plus strong Python and PyTorch/JAX skills to profile, debug, and write maintainable research code.

Join XiFin's Advanced Data Analytics team as an Associate Machine Learning Engineer to design, develop, and deploy machine learning models with a focus on LLMs, Generative AI, and Agentic AI in healthcare and revenue cycle domains. You will contribute to MLOps pipelines, perform data preparation and prompt engineering, collaborate with cross-functional teams, and validate models for production use.…See more The role requires a Bachelor's degree in Computer Science, Data Science, or related field, with proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and foundational knowledge of GenAI architectures, vector databases, and LLM orchestration frameworks.

Design and build production AI systems integrated into enterprise workflows, owning the full stack from APIs and backend services through cloud infrastructure, data pipelines, and AI components. Lead multidisciplinary engineering teams, make architectural decisions across cloud platforms (AWS, Azure, GCP), containers, serverless, and infrastructure-as-code, while building agentic systems with tools, memory, and safety controls.…See more Own DevSecOps practices including CI/CD automation, security scanning, and incident response. Require 5+ years of production software engineering, full-stack development across multiple layers, hands-on experience with a major cloud platform, and proficiency in languages like Java, Python, Go, TypeScript, or C#.

As an Autonomy Engineer focused on VLA (Vision-Language-Action) pre-training, you will develop and train deep learning policies for humanoid robots, owning the full pipeline from data collection and curation to model deployment. You'll pre-train base models on diverse multi-embodiment trajectory corpora, fine-tune policies for specific tasks, work with MLOps teams to scale distributed training, and build continuous pipelines that ingest synthetic data and teleop logs.…See more This is primarily a deep learning role requiring 3+ years of experience shipping neural network models, hands-on expertise with LLMs, VLMs, or generative models, and strong proficiency in Python and PyTorch or JAX.

Forward Deployed Engineer who embeds with clients to identify business needs and translate high-value GenAI use cases into production solutions. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms, delivering production-quality code with strong testing, CI/CD, logging, and documentation practices.…See more Lead working sessions, prototype solutions, and mentor team members while balancing architecture decisions around quality, safety, latency, cost, and model risk. Requires 3+ years software/data engineering experience, 1+ years hands-on GenAI/LLM deployment, and 1+ years with Microsoft AI & Data (Azure AI Foundry).