About this role

Google is hiring a senior-level AI Engineer in the machine learning function based in Chicago, IL | Atlanta, GA | Austin, TX | Boulder, CO (hybrid). The posting calls out experience with GCP, LLMs, RAG, Cloud Computing. Listed education preference: a master's degree or equivalent. Compensation is listed at $140,000–$205,000 per year.

Role: AI Engineer
Function: machine learning
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Chicago, IL | Atlanta, GA | Austin, TX | Boulder, CO
Work mode: Hybrid
Education: Master's degree
Posted: Jun 19, 2026

AI Summary

Drive AI transformation strategy for enterprise customers as a Pursuit AI Lead at Google Cloud. Conduct executive conversations, develop AI services proposals, and architect solutions leveraging GCP capabilities. Requires MBA/Master's degree, proven experience building AI transformation strategies, LLM fine-tuning/RAG implementation expertise, and ability to translate technical concepts for business stakeholders.

Upgrade to Pro for AI summaries, resume match scores & career intelligence →

Job description

from Google careers

The Google Cloud Consulting (GCC) team is evolving to meet the demands of enterprise AI transformation. As a Pursuit AI Lead, you will act as the growth engine and primary AI services connection point for Google Cloud's customer transformations. In this role, you will drive executive-level customer conversations to understand the customer's key business opportunities and issues, and how these can be solved utilizing Google Cloud's core and AI technology capabilities.

Partnering closely with Sales leadership, this role defines the holistic AI transformation services strategy for an assigned customer portfolio, driving repeatable success. You will build proposals to transform customers' businesses and drive unique business outcomes, serving as a trusted advisor who owns the AI services architecture and positions the value proposition of Google Cloud services to accelerate Google Cloud platform (GCP) adoption and maximize business growth while driving customer value. Furthermore, you will have the opportunity to influence Google's professional services strategy and business efforts, guide overall direction, and shape programs and offers.

You will be expected to travel and be on the customer site approximately 30% of the time.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $140000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Define, own and articulate the comprehensive AI transformation strategy for a strategic enterprise portfolio, partnering directly with sales leadership and C-level executives to identify opportunities and resolve pain points.
Architect the customer AI services journey, managing the entire services lifecycle from qualification through contracting and creating proposals, leveraging a value services approach to accelerate cloud adoption.
Translate complex customer business goals and outcomes into a defined AI transformation services roadmap, scope the required professional services work, and orchestrate the engagement of the right delivery resources (Professional Services Organization and Partners).
Drive AI strategy and go-to-market execution for Google professional services core programs; shape offers, build assets, scale enablement, and value-sell alongside the team to capture field and customer insights.
Support professional services pipeline transparency, tracking status and executing resolution strategies to eliminate blockers.

Minimum qualifications:

Bachelor's degree in a technical or business field, or equivalent practical experience.
8 years of experience in customer-facing roles (e.g., driving professional services or transformation strategies) in the cloud or enterprise technology domain.
Experience in Google Cloud Platform (GCP) technologies, services, and adoption frameworks.
Experience with executive-level customer relationships (e.g., acting as an advisor or portfolio leader).
Experience solving business problems with cloud technologies, specifically AI/Generative AI.
Experience managing end-to-end commercial agreement pursuit and services agreement lifecycles (e.g., agreement qualification, agreement scoping, proposal development, agreement negotiation).

Preferred qualifications:

MBA or Master's degree in a relevant field.
Experience developing holistic AI transformation services strategies and repeatable solutions across a customer portfolio.
Experience in model tuning or training (e.g., fine-tuning or PEFT LLMs), RAG implementations, and advanced AI agent development.
Experience translating complex technical concepts for non-technical audiences to drive collaborative problem-solving.
Ability to drive business outcomes and consumption acceleration through governance and execution oversight of signed engagements.
Excellent thought leadership, business, and industry acumen, with experience collaborating across internal organizations (Sales, PSO, Partners).