Top 15 Cloud infrastructure engineer Jobs in Ann Arbor, Mi

Forward Deployed Engineer IV, GenAI, Google Cloud
Google —Ann Arbor, MI
- $207,000 - $301,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Paid holidays
- Disability insurance
Senior AI Infrastructure Engineer
KLA —Ann Arbor, MI
- $105,900 - $180,000 a year
- Full-time
- Azure
- Doctoral degree
- Master's degree
- Employee stock purchase plan
- Paid holidays
Forward Deployed Engineer III, Generative AI, Google Cloud
Google —Ann Arbor, MI
- $174,000 - $253,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Senior DevOps Engineer
Clarivate —Ann Arbor, MI
- Full-time
- Hybrid work
- Azure
- Computer Science
- 5 years
Senior Software Engineer - Release Manager
Torc Robotics —Ann Arbor, MI
- $160,800 - $193,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
- AD&D insurance
- Health insurance
Senior Infrastructure/DevSecOps Engineer (TS/SCI with CI Poly) {S}
ARKA Group, L.P. —Ypsilanti, MI
- Email
- Background check
- Computer science
- Azure
- Paid parental leave
- Health savings account
Quick Apply
DevOps Engineer - IN PERSON - WIXOM MI
J&B Medical —Wixom, MI
- $80,000 - $95,000 a year
- Weekends as needed
- System design
- Office
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
14d
Senior DevOps Engineer
Savance —Commerce, MI
- From $100,000 a year
- Email
- Google Workspace
- 5 years
- System design
- Paid holidays
- Dental insurance
Senior Solution Engineer - SPDM
ESTECO SpA —Novi, MI
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Sr. Cloud Engineer, SDV Platform, Engineering platform Group
Astemo —Farmington Hills, MI
- 7 years
- Azure
- Computer Science
4d
Cloud Infrastructure Engineer
FocusPointSAP —United States
- $50 - $60 an hour
- Part-time
- Remote
- Azure
- Windows
- AWS
- Flexible schedule
Quick Apply
2d
Senior Cloud Engineer (Remote)
Vector Airport Systems —United States
- $140,000 - $160,000 a year
- Full-time
- Remote
- Background check
- 6 years
- System design
- Health insurance
- Dental insurance
1d

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cloud infrastructure engineer jobs near ann arbor, mi

Forward Deployed Engineer IV, GenAI, Google Cloud

Google -
Ann Arbor, MI

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Job Details

Full-time
$207,000 - $301,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance
401(k) matching

Qualifications

Software engineering
Application systems
Infrastructure architecture design
Databases
Maintaining data pipelines
Programming languages
Post-sales client support
Model deployment
Engineering product development
Cloud Architecture Design (Architecture design skills)

Full Job Description

The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Houston, TX, USA; Irvine, CA, USA; Kirkland, WA, USA; Miami, FL, USA; New York, NY, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Madison, WI, USA; Portland, OR, USA.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development using Python or similar coding languages.
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience taking production-grade AI-driven solutions from conception to launch for customers.
Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
Experience leading technical discovery sessions with customers.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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cloud infrastructure engineer jobs in ann arbor, mi

Forward Deployed Engineer IV, GenAI, Google Cloud

Senior AI Infrastructure Engineer

Forward Deployed Engineer III, Generative AI, Google Cloud

Senior DevOps Engineer

Senior Software Engineer - Release Manager

Senior Infrastructure/DevSecOps Engineer (TS/SCI with CI Poly) {S}

DevOps Engineer - IN PERSON - WIXOM MI

Senior DevOps Engineer

Senior Solution Engineer - SPDM

Sr. Cloud Engineer, SDV Platform, Engineering platform Group

Cloud Infrastructure Engineer

Senior Cloud Engineer (Remote)

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