Senior Engineering Manager, Google Cloud AI/ML

• Leading Google Cloud AI and machine learning engineering workstreams from concept through deployment
• Guiding technical teams in designing generative AI solutions, including prompt engineering, LLM APIs, and retrieval-augmented generation
• Driving architecture decisions for AI applications built on Google Vertex AI, LangChain, LangGraph, and vector databases
• Managing client conversations to align technical direction, delivery priorities, and measurable outcomes
• Directing experimentation, model evaluation, and guardrail design to support reliable AI behavior
• Shaping LLMOps practices for versioning, monitoring, release coordination, and lifecycle management
• Applying Python, data science, and machine learning methods to prototype and refine AI-driven products
• Translating complex technical concepts into clear recommendations for business and technology leaders

What You Must Have

• At least a Bachelor’s degree
• At least 7 years of experience

What Sets You Apart

• Leading engineering teams delivering Google Cloud AI and ML solutions
• Applying Google Vertex AI, LangChain, and LLM APIs
• Building LLMOps, guardrails, and evaluation frameworks
• Using Python, machine learning, and data science skills
• Driving rapid experimentation and context engineering approaches
• Communicating clearly across client and technical teams

The salary range for this position is: $124,000 - $280,000. 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