Engineering Manager, Google Cloud AI/ML

PWC

Confirmed live today High trust

Quick summary

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
$99,000–$232,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $166k
$79k most similar roles pay here $284k

This role pays less than 75% of similar roles. Most pay $168,250–$254,750 — the shaded band above. At the midpoint, this role pays about $166k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

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 104 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 101 roles with salary data.

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View all roles at PWC

At a glance

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

As an Engineering Manager, Google Cloud AI/ML within the Data & Analytics Engineering practice, you will lead teams to design and deliver cloud-native machine learning solutions. You will manage technical teams building generative AI solutions for client use cases while coaching junior professionals on natural language processing and AI fluency. Your daily responsibilities include guiding the development of LLM based applications, agent orchestration, and retrieval augmented generation patterns. You will oversee architecture choices, code quality, and testing for Python based tools while managing model evaluation, prompt engineering, guardrails, and LLMOps activities. The role requires hands-on experience with Google Vertex AI, LangChain, LangGraph, and various LLM APIs. You will solve complex business needs by integrating data and analytics capabilities into scalable digital tooling and infrastructure to accelerate implementation across multiple delivery tracks.

What does a Engineering Manager earn in California?

Median $290250 from 57 postings across 16 companies.

See salary data

What you'll do

  • Lead Google Cloud AI and machine learning engineering workstreams from planning through final delivery.
  • Manage technical teams building generative AI solutions for various client-facing use cases.
  • Guide the design, development, and deployment of LLM-based applications and agent orchestration patterns.
  • Review architecture choices, code quality, and testing approaches for Python-based AI solutions.
  • Direct model evaluation, prompt engineering, guardrails, and LLMOps activities across multiple delivery tracks.
  • Coordinate solution development using Google Vertex AI, LangChain, LangGraph, and various LLM APIs.
  • Coach team members on machine learning, natural language processing, and general AI fluency.
  • Identify opportunities to improve AI delivery methods and expand reusable solution assets.

What we're looking for

  • At least a Bachelor's degree.
  • At least 5 years of experience.
  • Experience leading Google Cloud AI/ML engineering teams and client workstreams (preferred).
  • Experience managing Generative AI, LLMOps, and model evaluation initiatives (preferred).
  • Proficiency building with Google Vertex AI, LangChain, and LangGraph (preferred).
  • Experience applying Python, machine learning, and NLP in delivery (preferred).
  • Experience coaching teams through agent orchestration and prompt engineering (preferred).
  • Experience driving retrieval-augmented generation, guardrails, and vector databases (preferred).

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