Job description

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 workstreams 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 workstreams 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, LangChain, LangGraph, 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 workstreams - Managing Generative AI, LLMOps, and model evaluation initiatives - Building with Google Vertex AI, LangChain, and LangGraph - Applying Python, machine learning, and NLP in delivery - Coaching teams through agent orchestration and prompt engineering - Driving retrieval-augmented generation, guardrails, and vector databases 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. To view our benefits at a glance, please visit the following link: pwc.to 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: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: pwc.to

Requirements

Must-haves

Leading Google Cloud AI and machine learning engineering workstreams 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, LangChain, LangGraph, 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 workstreams
Managing Generative AI, LLMOps, and model evaluation initiatives
Building with Google Vertex AI, LangChain, and LangGraph
Applying Python, machine learning, and NLP in delivery
Coaching teams through agent orchestration and prompt engineering
Driving retrieval-augmented generation, guardrails, and vector databases

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningllmpython

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k