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  1. Home
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  5. Manager, GenAI Engineering
Deloitte logo

Manager, GenAI Engineering

Not Disclosed•Full-TimeOn-site

location_on1758, Paris Avenue Southeast, Third Ward, Grand Rapids, Kent County, Michigan, 49507, United States

Apply Now

About the Team

US Deloitte Technology Product Engineering serves as the engine that drives Deloitte, powering the success of the world's largest and most respected companies. As the firm's primary internal development team, we have modernized software and product delivery to create a scalable, cost-effective model focused on value and outcomes. We leverage a progressive and responsive talent structure to develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

About the Role

As a Manager GenAI Engineer, you will actively engage in your engineering craft with a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while driving tangible value for Deloitte's business investments. This role is designed for a dependable team player and mentor who collaborates with cross-functional teams to design, develop, and deploy advanced software solutions.

You will serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. The day-to-day involves leading requirement analysis, contributing to low-level architecture, and maintaining accountability for the integrity of code design, implementation, and operations. You will stay hands-on and self-driven, continuously learning new approaches and infusing AI/ML/GenAI where appropriate. Your work will focus on developing lean engineering solutions through rapid experimentation, adopting a mindset that favors action and evidence over extensive planning to navigate complexity and uncertainty.

Hiring Process

Recruiting for this role ends on June 29, 2026. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status, in accordance with applicable law.

Work location

Work model: On-site

location_on

1758, Paris Avenue Southeast, Third Ward, Grand Rapids, Kent County, Michigan, 49507, United States

Grand Rapids, Michigan

Key Responsibilities

  • check_circleDesign, develop, and deploy advanced GenAI and software solutions using modern frameworks
  • check_circleCollaborate with cross-functional teams to integrate diverse perspectives and deliver lean solutions
  • check_circleImplement DevSecOps and full automation pipelines for daily product deployments and SDLC lifecycle
  • check_circleLead requirement analysis, low-level architecture, and component design for high-visibility projects
  • check_circleMentor junior engineers and foster a culture of technical craftsmanship and continuous learning
  • check_circleTranslate business needs and UX designs into technical specifications and executable code
  • check_circleWrite high-quality, scalable code and conduct code reviews to ensure quality KPIs are met
  • check_circleDrive customer-centric engineering through rapid experimentation and direct engagement with stakeholders

Requirements

  • verifiedBachelor's degree in computer science, software engineering, or related discipline
  • verified8+ years of experience with AI/ML, last 2 years focused on GenAI
  • verifiedProficiency in Python, R, TensorFlow, PyTorch, Keras, Julia, NLP
  • verifiedExperience with Angular, React, NodeJS, Streamlit, C#, .NET Core, Golang, SQL/NoSQL
  • verifiedCloud-native engineering experience on Azure, AWS, or GCP
  • verifiedKnowledge of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube
  • verifiedAbility to travel 10%
  • verifiedLimited immigration sponsorship may be available

Nice to Have

Advanced degree (e.g., MS) in computer science, software engineering, or a related discipline.

Benefits & Perks

check_circleDiscretionary annual incentive program based on individual and organizational performance
Deloitte logo
Company

Deloitte

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

8+ yrs (Senior)

Education

Bachelor's degree in computer science, software engineering, or related discipline required

Job Type

Full-Time

Skills Required

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Skills, education and keywords

Skills: Genai, Ai/ml, Openai, Claude, Gemini, Langchain, Prompt Engineering, Fine-Tuning, Python, R.

Education: Bachelor's degree in computer science, software engineering, or related discipline required.

Frequently asked questions about Manager, GenAI Engineering at Deloitte

What does a Manager, GenAI Engineering at Deloitte do?expand_more
A Manager, GenAI Engineering at Deloitte is responsible for the following: Design, develop, and deploy advanced GenAI and software solutions using modern frameworks; Collaborate with cross-functional teams to integrate diverse perspectives and deliver lean solutions; Implement DevSecOps and full automation pipelines for daily product deployments and SDLC lifecycle; and Lead requirement analysis, low-level architecture, and component design for high-visibility projects.
What are the requirements for this Manager, GenAI Engineering role?expand_more
To qualify for the Manager, GenAI Engineering at Deloitte position, applicants should have: Bachelor's degree in computer science, software engineering, or related discipline; 8+ years of experience with AI/ML, last 2 years focused on GenAI; Proficiency in Python, R, TensorFlow, PyTorch, Keras, Julia, NLP; Experience with Angular, React, NodeJS, Streamlit, C#, .NET Core, Golang, SQL/NoSQL; Cloud-native engineering experience on Azure, AWS, or GCP; and Knowledge of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube.
Where is the Manager, GenAI Engineering role at Deloitte located?expand_more
Manager, GenAI Engineering at Deloitte is based in 1758, Paris Avenue Southeast, Third Ward, Grand Rapids, Kent County, Michigan, 49507, United States. This is a on-site role.
Is this Manager, GenAI Engineering job remote, hybrid, or on-site?expand_more
Deloitte has listed this Manager, GenAI Engineering role as on-site.
How much experience is required for this Manager, GenAI Engineering role?expand_more
Manager, GenAI Engineering at Deloitte typically requires 8+ years of relevant experience at the senior level.
What skills do you need for the Manager, GenAI Engineering role at Deloitte?expand_more
Key skills for Manager, GenAI Engineering at Deloitte include Genai; Ai/ml; Openai; Claude; Gemini; Langchain; Prompt Engineering; and Fine-Tuning.
What education is required for Manager, GenAI Engineering at Deloitte?expand_more
Educational requirements for this role: Bachelor's degree in computer science, software engineering, or related discipline required.
What category does the Manager, GenAI Engineering role belong to?expand_more
Manager, GenAI Engineering at Deloitte is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in OhioAll states →
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Company
About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
GenaiAi/mlOpenaiClaudeGeminiLangchainPrompt EngineeringFine-TuningPythonR
US privacy notice
Accessibility