google-gemini jobs in San Diego

A Technical Manager leading Google Gemini (GECX) implementations for enterprise customers, overseeing onshore and offshore delivery teams, managing client relationships with senior stakeholders, and driving business development. The role requires hands-on end-to-end delivery experience with GCP Gemini Enterprise for Customer Experience, including conversational agents (Dialogflow CX), Agent Assist, Quality AI, and contact center analytics platforms (BigQuery, Looker).…See more Responsibilities span project design, team building, best-practices advisory, quality assurance, proposal development, and staff mentoring across large-scale digital transformation engagements.

Build and deploy production-ready AI solutions using LLM orchestration platforms (LangChain, LangGraph, CrewAI, n8n) and agentic workflows that integrate with existing data infrastructure like Snowflake. Develop sophisticated prompt engineering and RAG systems with vector databases, conduct independent data analysis to identify AI opportunities, and translate technical work into clear insights for leadership.…See more Move solutions from concept to deployed, maintainable tools with proper documentation and intuitive interfaces. Collaborate cross-functionally with data scientists, analysts, and stakeholders to drive organizational impact.

Lead the design, development, and deployment of enterprise-scale Generative AI and LLM solutions across Azure and AWS environments. Define AI architecture frameworks, standards, and governance practices while architecting RAG systems, agentic AI, multi-agent systems, and vector database solutions.…See more Partner with business leaders and engineering teams to translate business requirements into scalable, secure, and responsible AI platforms. Mentor architects and data science teams while evaluating emerging AI technologies and driving innovation initiatives.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

This is a senior-level IT support role handling escalated complex technical issues across remote and onsite client environments. The Client Engineer will troubleshoot and resolve infrastructure-layer problems spanning M365 administration (Exchange, SharePoint, Teams, Entra ID), macOS support, networking (DNS, DHCP, VPN, firewalls), and generative AI platforms, while traveling to client sites in the metro area as needed.…See more The role requires strong technical depth, independent judgment, excellent client-facing communication skills, and the ability to quickly assess scope and determine whether issues require remote or onsite resolution. A valid driver's license and comfort working in ambiguous situations across both remote and field settings are essential.