Engineering Manager, Google Cloud AI​/ML

Industry/Sector Not Applicable Specialism Data , Analytics & AI Management Level Manager Job  Description & Summary The Opportunity As a Engineering Manager, Google Cloud AI/ML you will lead the design and delivery of Google Cloud AI and machine learning solutions within our Data & Analytics Engineering practice. As a Manager you will lead teams, coach junior professionals, manage client accounts, and drive assigned work streams with autonomous judgment while balancing quality, timelines, and changing client needs.

In this role at PwC, you will guide technical delivery across cloud-native development and testing efforts, support solution design from concept through implementation, and bring together data, analytics, and AI capabilities to address complex business needs.

Responsibilities
- Leading Google Cloud AI and machine learning engineering work streams from planning through delivery
- Managing technical teams that build generative AI solutions for client-facing use cases
- Guiding the design, development, and deployment of LLM based applications, agent orchestration, and retrieval augmented generation patterns
- Reviewing architecture choices, code quality, and testing approaches for Python based AI solutions and digital tooling
- Directing model evaluation, prompt engineering, guardrails, and LLMOps activities across multiple delivery tracks
- Coordinating solution development using Google Vertex AI, Lang Chain, Lang Graph, and LLM APIs
- Coaching team members on machine learning, natural language processing, and AI fluency in applied project settings
- Identifying opportunities to improve AI delivery methods, accelerate implementation, and expand reusable solution assets
- Maintaining client relationships through clear progress updates, issue resolution, and active management of expectations

What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience

What Sets You Apart
- Leading Google Cloud AI/ML engineering teams and client work streams
- Managing Generative AI, LLMOps, and model evaluation initiatives
- Building with Google Vertex AI, Lang Chain, and Lang Graph
- Applying Python, machine learning, and NLP in delivery
- Coaching teams through agent orchestration and prompt engineering
- Driving retrieval-augmented generation, guardrails, and vector databases

Travel Requirements Up to 80%
Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

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As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: .

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