gemini jobs in San Diego

Lead a workplace engineering transformation program for enterprise clients using Microsoft 365, Active Directory, Entra ID, and endpoint management technologies. Design and implement large-scale migrations, lead cross-functional teams through deployment workstreams, and advise on AI-enabled workplace solutions including Copilot and enterprise AI platforms.…See more Manage project deliverables, coordinate adoption initiatives, and optimize end-user experience through automation and intelligent tooling. Requires 6+ years of workplace engineering experience, 3+ years of program/project management, and demonstrated ability to lead teams through enterprise-scale implementations.

Lead end-to-end automation testing for web and mobile applications using Java, Selenium, Playwright, and TestNG, with specialized expertise in AI/LLM model evaluation and Generative AI testing. Design and maintain robust automation frameworks for regression, functional, and integration testing while creating comprehensive test plans for both traditional software and AI-based applications.…See more Evaluate LLM outputs against expected behavior, validate prompt/response quality, and document model-quality findings. Collaborate with developers, product owners, and stakeholders using Shift-Left Testing practices and Agile methodologies, leveraging AI-powered tools like GitHub Copilot and ChatGPT to enhance testing efficiency.

AppFolio is hiring a Staff Machine Learning Engineer to design, build, and operate their ML platform on AWS, supporting training, fine-tuning, inference, RAG, and cost optimization across the organization's AI initiatives. You'll partner with applied AI and research teams to productionize prototypes, maintain multi-provider LLM reliability (OpenAI, Google, Anthropic), and operate AI safety guardrails and authorization layers.…See more The role requires production-scale ML infrastructure experience on AWS (ECS, SageMaker, GPU fleets), deep knowledge of model serving and inference optimization, hands-on language model training, and demonstrated cost discipline across AI workloads.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Staff Business Systems Analyst responsible for owning Finance systems configuration, control design, and data validation in a SOX-compliant environment at Intuit. The role requires architectural thinking to evaluate system soundness, lead cross-functional transformation initiatives independently, and serve as the go-to technical authority for Finance leadership and external auditors.…See more Strong analytical skills with SQL and Qlik are essential, along with demonstrated proficiency using AI tools (Gemini, ChatGPT, Claude) to accelerate analysis and identify automation opportunities in Finance processes. The position bridges technical depth (system configuration, data tracing, control testing) and strategic communication (executive briefings, program leadership).

The RMA Engineer manages Return Material Authorizations for hyperscaler and enterprise server products, handling review, logging, troubleshooting, and root cause analysis of returned hardware down to component level. Responsibilities include diagnosing failures, executing test plans, validating server SKUs across cloud platforms (AWS, Azure, GCP), and coordinating repair and return-to-service processes.…See more The role requires collaboration with engineering, supply chain, and customer support teams, along with maintaining accurate records and generating trend reports. Required background: Bachelor's in Computer Science or Electrical/Electronics Engineering plus 4+ years of hardware engineering experience (or equivalent with advanced degree).

Lead large-dataset analysis projects for lending clients, cleaning and analyzing millions of loan-origination records while maintaining rigorous data quality and defensible methodology. Design analyses around customer business goals, translate findings into clear ROI narratives for both technical and executive audiences, and present results directly to stakeholders.…See more Build reusable queries, templates, and documentation to improve study consistency and speed. Spend 20% of time supporting sales through discovery calls, product demos, and creating sales materials.

The RMA Engineer manages Return Material Authorizations for hyperscaler and enterprise server products, handling hardware evaluation, troubleshooting, and disposition. Responsibilities include diagnosing component-level failures, performing root cause analysis, executing test plans, and validating server configurations across AWS, Azure, and GCP environments.…See more The role requires collaboration with engineering, supply chain, and customer support teams, plus inventory management and process coordination. Candidates need a bachelor's degree in Computer Science or Electrical/Electronics Engineering with 4+ years of hardware engineering experience (or equivalent via advanced degree).

Lead complex contact center routing initiatives end-to-end for Intuit's GBSG business unit, from stakeholder discovery through Amazon Connect configuration, deployment, and production monitoring. Design and execute advanced routing strategies using CUP/CUE platforms, manage multi-region Amazon Connect environments, and analyze routing performance across channels using QlikSense, Splunk, and Databricks.…See more Serve as a routing and platform subject matter expert, provide guidance on design tradeoffs, and manage P0 incidents within SLA. Proactively apply generative AI tools to accelerate analysis, configuration work, and team workflows.

Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.

Staff-level database engineer responsible for managing production database environments across MySQL, ClickHouse, and MongoDB at scale. The role demands independent execution, proactive monitoring, performance optimization through query tuning and indexing, and 24/7 on-call incident response.…See more Requires 4+ years of MySQL and cloud platform experience (Azure/AWS), strong Linux expertise, and scripting proficiency (Golang preferred); nice-to-have skills include AI tooling integration (LangChain, LlamaIndex), vector databases, and RAG for automating database operations.

Staff Program Manager leading operational excellence for Intuit's Tech Learning organization. Owns vendor relationships (O'Reilly, Udemy), budget tracking, contract management, and ROI analysis while designing and maintaining the team's operating cadence, planning infrastructure, and leadership reporting rituals.…See more Builds dashboards translating training data into decision-ready insights and leads readiness workstreams for program launches and platform migrations. Requires 5+ years in program/vendor/procurement management, proficiency with AI tools (Claude, ChatGPT, Gemini, Cursor) for daily workflows, strong organizational skills, and experience with Jira and Google Suite.

The Business Process Automation Specialist will architect and maintain custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and third-party platforms (Zapier, Make.com, Asana, HubSpot, Slack, Looker Studio) to eliminate manual work and keep data in sync. The role includes identifying and building production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing.…See more You'll design end-to-end automated processes for client onboarding, reporting, and HR workflows while driving adoption through documentation, SOPs, and end-user support. This requires 5+ years of business process improvement or systems integration experience, strong Google Apps Script (JavaScript) proficiency, hands-on knowledge of REST APIs and webhooks, and ability to translate business problems into scoped solutions without over-engineering.

Design and build production AI solutions including copilots, agents, RAG applications, and workflow automations on Azure OpenAI, Claude, and Microsoft platforms. Write custom code in Python, JavaScript/TypeScript, or C# and leverage low-code platforms like Power Automate and Logic Apps where appropriate, following solid engineering practices (version control, testing, CI/CD, AI output evaluation).…See more Integrate solutions with enterprise systems and APIs with security-first design, own projects end-to-end from deployment through adoption and improvement, and work with security, architecture, governance, and compliance teams to ensure production readiness. Communicate clearly to both technical and business audiences, document designs, and coach teammates on AI capabilities, limits, and risks.

Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps.…See more Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.

The AI Architect will lead the design, development, and deployment of enterprise-scale generative AI solutions across Azure and AWS, partnering with business and engineering leaders to define AI strategy and architecture standards. The role requires deep expertise in modern LLMs (Claude, Gemini, OpenAI), multi-cloud AI platforms, and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years architecting AI/ML solutions.…See more Key responsibilities include designing end-to-end GenAI solutions leveraging RAG, agentic AI, and multi-agent systems; establishing cloud-native deployment patterns; and defining governance, compliance, and responsible AI frameworks. The ideal candidate will serve as a trusted technical advisor to executives, mentor engineering teams, and drive AI adoption through reusable frameworks and reference architectures.

Business Systems Analyst responsible for architecting and building automation infrastructure across Google Workspace, Asana, HubSpot, and other enterprise tools using Google Apps Script, Zapier, and Make.com. The role includes designing AI workflows with LLMs (Gemini, Claude, ChatGPT) for process automation, integrating REST APIs and webhooks, and eliminating manual data entry through real-time syncing and validation.…See more You'll drive adoption through documentation, training, and end-user support while continuously identifying opportunities to redesign processes before automating them. Requires 5+ years of business process improvement and systems integration experience with strong proficiency in Google Apps Script (JavaScript), advanced Google Sheets, and no-code automation platforms.

Business Systems Analyst responsible for architecting and maintaining custom automation tools across the Google ecosystem (Apps Script, Sheets, Docs, Forms) and integrating third-party platforms like Asana, HubSpot, Slack, and Looker Studio. You will identify and build production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing, while eliminating manual data entry and automating end-to-end processes such as client onboarding and reporting pipelines.…See more You'll drive adoption through documentation, training, and governance, and partner with IT on infrastructure and access controls. The role requires translating vague business problems into shippable solutions, challenging stakeholders on process redesign vs. automation, and shipping high-impact MVPs iteratively.

Senior Applied AI Engineer at West Health will design, build, and deploy production-quality AI-powered tools and workflows using large language models, multi-agent architectures, and orchestration platforms. The role involves building intelligent automation pipelines with tools like n8n, LangChain/LangGraph, and Microsoft Copilot Studio, integrating AI capabilities with existing data infrastructure (Snowflake, Python), and conducting data analysis to identify high-impact AI opportunities.…See more The ideal candidate combines deep practical expertise in applied AI with the ability to rapidly move from concept to fully working, well-documented applications that create measurable value for healthcare delivery and senior care initiatives.