Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.
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: https://pwc.to/benefits-at-a-glance
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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: https://pwc.to/us-application-deadlines
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: https://pwc.to/benefits-at-a-glance
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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
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: https://pwc.to/us-application-deadlines
PwC Denver, Colorado, USA Office
1900 Sixteenth Street, Denver, CO, United States, 80202
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.
Top Skills:
Data ScienceGCPGoogle Vertex AiLangchainLanggraphLlm ApisLlmopsMachine LearningPrompt EngineeringPythonRetrieval-Augmented GenerationVector Databases
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.
Top Skills:
Agent OrchestrationAws BedrockAzure Ai ServicesContext EngineeringGeminiGoogle Vertex AiGuardrailsLangchainLlm ApisLlmopsMachine LearningNatural Language ProcessingPrompt EngineeringPythonRetrieval-Augmented GenerationVector Databases
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Entry-level Tax Associate supporting corporate, partnership, multistate, domestic, and international tax compliance and planning. Responsibilities include preparing tax returns and provisions, conducting tax research, analyzing regulations, modeling tax positions, supporting client engagements, and using AI and data analytics to improve tax processes. The role requires an Accounting degree, minimum 3.0 GPA, and eligibility to sit for the CPA exam.
Top Skills:
Artificial Intelligence (Ai)Data Analytics
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
