AI Technical Delivery Lead, Google Cloud

Google; Greater London; On-site; GBP 150,000 - 210,000; Full time

Benefits offered by this job

Google Cloud perks

Job summary

Google Cloud Consulting Professional Services seeks a Technical Deployment Lead to own strategic AI deployments for enterprise customers. You will define product goals, architect technical strategy, and manage data governance and constraints upfront, collaborating daily with the Delta squad to deliver measurable business outcomes.

Ideal candidates bring platform engineering depth, executive-communication skills, and proven ability to translate business trade-offs into technical roadmaps for

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience project managing and delivering technical solutions.
• 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.

Responsibilities

• 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.
• 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

Leadership

Stakeholder management

Cross-functional collaboration

AI deployment design

System architecture discussion

Education

Bachelor's degree

Tools

Vector databases

API integrations

RAG architecture

Job description

• Bachelor's degree or equivalent practical experience.
• 7 years of experience project managing and delivering technical solutions.
• 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.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience project managing and delivering technical solutions.
• 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.

Preferred qualifications

• Experience in systems design with the ability to explain model architectures, data analysis, feature engineering, and agent design patterns.
• Experience in business-aligned evaluation design to define metrics, collect data, and measure a program's effectiveness and impact.
• Experience in process reimagination, assessing legacy workflows, and designing automated, AI-driven alternatives that enhance operational velocity.
• Experience in context and spec engineering, systematically structuring data, constraints, and operational guidelines to optimize LLM performance.

About The Job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Technical Deployment Lead , you will sit squarely at the intersection of deep software engineering, cross-functional leadership, and enterprise customer strategy. Working directly with strategic enterprise customers, you will own the overall direction, technical architecture strategy, and ultimate success of high-stake AI deployments. You will define the overall product/process goal, manage infrastructure and data governance constraints upfront, and break down highly complex challenges into actionable roadmaps while collaborating daily across the Delta squad to deliver customer business outcomes. In this role, you will possess an outcome-focused mindset and strong technical depth. You will demonstrate strong executive presence and a relentless focus on execution and bringing business value to our customers. You will have a platform engineering and technical leadership background with a product mindset, allowing you to seamlessly translate business trade-offs to C-suite executives and discuss system architectures with team members and customer stakeholders. You will know how to navigate ambiguity, mitigate technical risks, and drive high user adoption for AI technologies. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• 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.
• 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.

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 .