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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Deployment Lead, Google Cloud - **Company:** Google LLC - **Location:** Boulder, CO, United States - **Experience:** Expert - **Salary:** $183,000.0 - $266,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Design Patterns, High-Level Architecture, Software Product Management, Search Technologies, Software Deployment, Google Cloud, Feature Engineering, Large Language Models, Multi-Agent Systems, Api Management - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=421b62bcbff22b9c ## About the Role * Bachelor's degree or equivalent practical experience. * 7 years of experience in product management, systems or solution architecture, software/platform engineering, or technical leadership in customer-facing roles. * Experience designing end-to-end AI systems (e.g., RAG, vector databases, and API integrations) and defining AI product/workflow specifications. * Experience leading cross-functional teams, driving technical deployments, and managing stakeholders., * Experience in systems design with the ability to explain model architectures, data analysis, feature engineering, and agent design patterns. * Experience in Process Reimagination, assessing legacy workflows, and designing automated, AI-driven alternatives that enhance operational velocity. * Experience in context and specification engineering, systematically structuring data, constraints, and operational guidelines to optimize LLM performance. * Experience in business-aligned evaluation design to define metrics, collect data, and measure a program's effectiveness and impact. * Experience deploying agents and RAG solutions using vector search, A2A, and MCP for multi-agent collaboration. * Experience prototyping low-fidelity solutions to validate AI features, user experiences, and model feasibility. ## Description * Define the AI deployment goal with strategic customers, qualify opportunities, and drive the end-to-end lifecycle to deliver key business outcomes. * Translate business objectives into technical delivery plans, orchestrating day-to-day execution for forward-deployment and implementation teams. * Lead high-pressure alignment sessions with customer executives to navigate technical trade-offs, cost vectors, scope, and project risks. * Transit frontier products to successful production, driving core metrics, workflow automation, and high user adoption, while traveling up to 30% for engagements. * Extract field learnings to build repeatable templates and playbooks, translating on-the-ground insights into actionable feature requests for engineering teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [From APIs to MCP: Enterprise Governance, Registry, and Controls](https://www.wearedevelopers.com/videos/100336-from-apis-to-mcp-enterprise-governance-registry-and-controls) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Got AI ideas but no money? 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