AI Deployment Lead — Enterprise AI & Execution

Google; Boulder (CO); On-site; USD 152,000 - 222,000; Full time

Job summary

Google is seeking a Technical Deployment Lead for the Delta squad in the Google Cloud Consulting Professional Services team. The role focuses on end-to-end AI deployments, defining product and workflow specifications, and coordinating across engineering, product, and customer stakeholders to deliver measurable business outcomes.

You will own the technical architecture strategy, manage data governance constraints, and translate complex trade-offs for executive audiences while driving adoption of

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 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., Retrieval-Augmented Generation (RAG), vector databases, and API integrations) and defining AI product/workflow specifications.

Responsibilities

• Define the AI deployment goal with strategic customers, qualify opportunities, and drive the end-to-end life-cycle 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.
• Transition 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.

Skills

5+ years experience

AI systems design

Cross-functional leadership

Education

Bachelor's degree or equivalent

Job description

Google is seeking a Technical Deployment Lead for the Delta squad in the Google Cloud Consulting Professional Services team. The role focuses on end-to-end AI deployments, defining product and workflow specifications, and coordinating across engineering, product, and customer stakeholders to deliver measurable business outcomes.

You will own the technical architecture strategy, manage data governance constraints, and translate complex trade-offs for executive audiences while driving adoption of