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Principal Forward Deployed Engineer, Google Cloud

Salary
$133.4K–$226.8K
Hiring from
United States
Work type
Hybrid
Posted

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Accelerate your career. Join the organization that's driving the world's technology and shape the future.

Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

Ingram Micro is the world's largest technology distributor and a leading Google Cloud partner. Our Global Cloud & Frontier team helps customers accelerate AI adoption by designing, building, and deploying production-ready AI solutions that drive measurable business outcomes.


We are seeking a Forward-Deployed Principal Services Engineer to work directly with enterprise customers to transform high-value AI use cases into scalable, production-grade solutions. This role combines software engineering, cloud architecture, AI application development, and customer engagement to deliver next-generation AI agents and applications on Google Cloud.


Position Summary

As a Forward-Deployed Principal Services Engineer, you will partner closely with customers, architects, consulting teams, and strategic partners to design and deploy AI-powered applications and intelligent agents using Google Cloud technologies.


You will lead technical delivery across the full solution lifecycle, from discovery and architecture through deployment and production adoption. Successful candidates will have deep expertise building enterprise cloud solutions, strong software engineering capabilities, and experience delivering customer-facing AI initiatives at scale.


Key Responsibilities

  • Design and deploy AI agents and applications using Google Cloud technologies, including Vertex AI and Gemini.
  • Work directly with customers to translate business requirements into production-ready solutions.
  • Build agentic workflows incorporating RAG, orchestration, memory, and tool integrations.
  • Implement secure, scalable cloud architectures and deployment pipelines.
  • Collaborate with architects, engineering teams, and delivery partners throughout the solution lifecycle.
  • Create reusable components, templates, and frameworks that accelerate future deployments.
  • Provide technical leadership and mentor engineers across engagements.

Required Qualifications

  • 8+ years of software engineering, cloud architecture, solutions architecture, or technical consulting experience.
  • 5+ years designing and deploying enterprise cloud solutions.
  • Experience delivering production software in customer-facing environments.
  • Strong communication and stakeholder management skills.

Preferred Qualifications

  • Experience with Google Cloud Platform (GCP).
  • Hands-on experience with Generative AI, LLMs, AI Agents, and Agentic AI.
  • Experience with Vertex AI, Gemini, RAG, vector search, and AI orchestration frameworks.
  • Proficiency in Python and API-based integrations.
  • Experience with cloud security, IAM, CI/CD, and DevOps practices.
  • Consulting, customer engineering, or professional services experience.

The typical base pay range for this role across the U.S. is USD $133,400.00 - $226,800.00 per year.

The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate’s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.

This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all these duties.

Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.

Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.

Why work here?

With us, you’ll make technology happen in surprising ways. It’ll be a fun journey!

Learn more at http://careers.ingrammicro.com

About Us

It’s no surprise that technology powers the planet. But what might surprise you is that Ingram Micro has the ability to reach more than 90% of the global population. By joining us, you make Ingram Micro’s contribution a reality: helping businesses grow, supporting industries from healthcare to education with their technology, or even connecting the world. What’s in it for you? Well, we take great care of our people, everyone is made to feel welcome, and opportunities to grow apply to all. But the prospect of shaping the future through technology is something you’re unlikely to find anywhere else. Let’s shape tomorrow.

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