> Markdown version of [/jobs/ext/3549582-senior-engineering-manager-google-cloud-ai-ml](https://www.wearedevelopers.com/jobs/ext/3549582-senior-engineering-manager-google-cloud-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineering Manager, Google Cloud AI/ML - **Company:** PwC - **Location:** Detroit, MI, United States - **Experience:** Expert - **Salary:** $124,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Python (Programming Language), Machine Learning, Management of Software Versions, Google Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Model Validation, Machine Learning Operations - **Published:** October 2, 2026 - **Apply:** https://dejobs.org/x/x/08D6B5B113A844299B70B7797CB507C3/job/ ## About the Role 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 ## Description * 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 ## About PwC When you work with PwC's Engineering, you work with builders who live and breathe advanced software-building techniques. AI-native by design and outcomes-driven, we execute at speed and at scale. We build the technology that powers modern business, from core cloud platforms to data and AI, from digital products to modern operations. We architect and orchestrate your cloud, AI, and data into one intelligent, evolving system — so you're built for what's next, not just what's now, with confidenc... **Industries:** Consulting [Company profile](https://www.wearedevelopers.com/companies/136-pwc) ### More Jobs at PwC - [Data Engineer - Senior Manager](https://www.wearedevelopers.com/jobs/ext/3590459-data-engineer-senior-manager) - [Utility Network GIS Consultant](https://www.wearedevelopers.com/jobs/ext/3587023-utility-network-gis-consultant) - [SAP Order to Cash Consultant](https://www.wearedevelopers.com/jobs/ext/3590484-sap-order-to-cash-consultant) - [Salesforce CPQ/Revenue Cloud Manager](https://www.wearedevelopers.com/jobs/ext/3575103-salesforce-cpq-revenue-cloud-manager) - [Digital Assurance & Transparency - IT Audit Senior Associate](https://www.wearedevelopers.com/jobs/ext/3583368-digital-assurance-transparency-it-audit-senior-associate)