Senior Engineering Manager, Google Cloud AI/ML

PWC

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Work type
On-site
Location
Chicago, ILRaleigh, NCCharlotte, NCCincinnati, OHCleveland, OHColumbia, SCColumbus, OHDallas, TXBaltimore, MDRichmond, VARochester, NYRosemont, ILSacramento, CABoston, MASt. Louis, MOSalt Lake City, UTSan Antonio, TXSan Diego, CASan Francisco, CASilicon Valley, CASeattle, WASpartanburg, SCAlbany, NYStamford, CTTampa, FLAtlanta, GAToledo, OHAustin, TXTulsa, OKWashington, DCDenver, CODes Moines, IADetroit, MIBoca Raton, FLBuffalo, NYFlorham Park, NJFort Worth, TXGreensboro, NCHartford, CTHouston, TXGrand Rapids, MIIndianapolis, INIrvine, CAJacksonville, FLKansas City, MOLas Vegas, NVLittle Rock, ARLos Angeles, CALouisville, KYBirmingham, ALFayetteville, ARMelville, NYMiami, FLMilwaukee, WIMinneapolis, MNMontpelier, VTNashville, TNNew Orleans, LANew York, NYOklahoma City, OKOrlando, FLPhiladelphia, PAPhoenix, AZPittsburgh, PAPortland, OR
Salary
$124,000–$280,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $211k
This role $202k
$105k most similar roles pay here $299k

This role pays less than 63% of similar roles. Most pay $172,375–$250,071 — the shaded band above. At the midpoint, this role pays about $202k versus about $211k for comparable roles.

Based on 240 similar postings.

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About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 108 open roles on FindRole.

Listed pay typically runs $99,000–$252,450 across 105 roles with salary data.

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At a glance

TL;DR · Senior Engineering Manager, Google Cloud AI/ML

As a Senior Engineering Manager, Google Cloud AI/ML, you will join the Data and Analytics Engineering practice to lead engineering efforts that design, build, and scale machine learning solutions on Google Cloud. You will manage complex workstreams from concept through deployment, guiding technical teams in designing generative AI solutions including prompt engineering, LLM APIs, and retrieval-augmented generation. Your daily responsibilities involve driving architecture decisions for applications built on Google Vertex AI, LangChain, LangGraph, and vector databases while shaping LLMOps practices for versioning and monitoring. You will utilize Python, data science, and machine learning methods to prototype products and manage client conversations to align technical direction with outcomes. The role focuses on solving complex problems in the domain of GCP Native Development and Testing through rapid experimentation, guardrail design, and advanced context engineering approaches.

What does a Engineering Manager earn in California?

Median $290250 from 62 postings across 17 companies.

See salary data

What you'll do

  • Lead Google Cloud AI and machine learning engineering workstreams from initial concept through final deployment.
  • Guide technical teams in designing generative AI solutions including prompt engineering, LLM APIs, and RAG.
  • Drive architecture decisions for AI applications using Vertex AI, LangChain, LangGraph, and vector databases.
  • Manage client conversations to align technical direction with delivery priorities and measurable outcomes.
  • Direct experimentation, model evaluation, and guardrail design to ensure reliable AI behavior.
  • Shape LLMOps practices for versioning, monitoring, release coordination, and lifecycle management.
  • Apply Python and data science methods to prototype and refine AI-driven products.
  • Translate complex technical concepts into clear recommendations for business and technology leaders.

What we're looking for

  • At least a Bachelor's degree.
  • At least 7 years of experience.
  • Leading engineering teams delivering Google Cloud AI and ML solutions (preferred).
  • Applying Google Vertex AI, LangChain, and LLM APIs (preferred).
  • Building LLMOps, guardrails, and evaluation frameworks (preferred).
  • Using Python, machine learning, and data science skills (preferred).
  • Driving rapid experimentation and context engineering approaches (preferred).
  • Communicating clearly across client and technical teams (preferred).

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