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).… 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.
data-science jobs in San Diego
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.… 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.… Responsibilities include participating in user discussions, building small prototypes, running tests, documenting results, and contributing to starter kits and project documentation.
This is a Data Analytics Developer II role supporting SDSU's Program Evaluation, Compliance, and Assessment (PECA) department. The specialist will organize, clean, transform, and integrate data from multiple sources into reliable datasets, working with Python, R, SQL, and data visualization tools to support student affairs decision-making.… The role requires proficiency in data structures, statistical methods, and data quality practices, with strong communication skills to collaborate with non-technical stakeholders across campus.
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.… 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.
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.… 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.
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.… 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.… 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.… 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.
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.… 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.
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.… 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.
Testing & Validation Analyst I will execute and document test plans for pharmacy/healthcare software systems, tracking accuracy of design and configuration through Salesforce scorecards. The role requires SQL query execution, intermediate Excel skills, and knowledge of Oracle-based platforms to support quality assurance processes.… The analyst will gather business requirements, respond to client needs, and assist senior team members with pre-assessment and configuration of change requests.
Designs enterprise data fabric solutions that provide unified, intelligent access to distributed data across on-premises and multi-cloud environments, integrating data virtualization, active metadata, knowledge graphs, cataloging, and automated integration. Establishes reference architectures, integration patterns, and governance that scale across enterprises, enabling self-service data consumption and real-time delivery.… Applies modern data paradigms including data mesh, data products, and cloud platforms to advise clients on major data modernization initiatives. Requires minimum 10 years in data architecture, 6 years architecting data fabric solutions, 5 years with cloud data platforms, and 4 years with data integration/ETL tooling.
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.… 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.… 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.… 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.… 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.… 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.… 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.
Senior Systems Analyst responsible for conducting technical training assessments and systems analysis for Navy C4I (Command, Control, Communications, Computers and Intelligence) systems. The role requires 10+ years of experience in systems analysis, Navy acquisition, and technical training assessments, with demonstrated expertise in maintaining and evaluating Navy communications, network, and data-link equipment.… The candidate will independently serve as a technical SME, review technical documentation for operational alignment, assess training equipment and materials, and support Navy acquisition programs with systems management and integration analysis.
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.… 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 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.… 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.
Senior Technology Analyst role focused on SAP data migration and master data governance (MDG). You will engage with business stakeholders to gather requirements, analyze technology solutions against business needs, and collaborate with technical teams to design system architecture.… Key responsibilities include working hands-on with SAP data tools (Data Services, Information Steward, MDG, Datasphere), managing data quality and compliance, and translating business needs into SAP and non-SAP system configurations and integrations.
The DATABASE ADMIN 3 builds and maintains clinical database infrastructure for the Get With The Guidelines heart failure registry at UC San Diego Health. Responsibilities include designing database systems, developing automated abstraction tools in collaboration with IT, querying and modeling moderately complex databases, interfacing with external vendors and the American Heart Association, auditing clinical charts, and identifying/implementing quality improvement projects based on data analysis.… The role requires 7+ years of related experience or a Bachelor's degree in biological science/computational programming plus 3+ years of experience, with demonstrated knowledge of GWTG, database management systems, and advanced querying/modeling skills.
The DATABASE ADMIN 3 for heart failure builds and maintains clinical database infrastructure for the Get With The Guidelines heart failure registry, working with IT to develop automated abstraction tools and manage vendor interfaces. The role includes auditing charts, correcting coding errors, and collaborating with faculty and clinical staff on data quality and guideline compliance.… The position identifies quality improvement opportunities and designs/implements QI projects using registry data to improve clinical outcomes.