Principal Service Engineer, Adobe Firefly

Description

Adobe Firefly’s Generative AI Services team is seeking a Principal Service Engineer to serve as the technical lead for our GenAI Services domain. In this high-impact role, you will lead a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products such as Firefly, Photoshop, Illustrator, Express, Stock, Premiere, and our suite of GenAI Enterprise solutions.

You will design and develop APIs and systems that integrate both Adobe’s proprietary and third-party generative models. As a hands-on technical leader, you will champion technical excellence and operational rigor while productizing and scaling a rapidly growing portfolio of GenAI services. You will address Adobe’s most complex engineering challenges, define technical direction, and mentor a growing organization of ML and services engineers.

Job Responsibilities

Lead the development and scaling of core GenAI services and APIs that integrate diverse generative models into Adobe’s flagship products.

Design and architect inference infrastructure for enterprise-scale model customization, serving, and ecosystem integration.

Provide hands-on technical leadership, guiding engineers through architecture, design, implementation, and best practices.

Evaluate and incorporate emerging MLOps technologies to improve engineering velocity, scalability, and performance.

Drive cross-functional alignment by partnering with Product Managers, TPMs, and engineering leaders to define and deliver the roadmap.

Lead design reviews and establish technical standards to ensure high reliability, maintainability, and scalability across systems.

Design and lead the development of DevOps processes and tooling necessary for scaling infrastructure and services.

Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

Requirements

• MS or PhD in Computer Science or a related field—or equivalent industry experience.
• 10+ years of experience building and operating production-scale systems.
• 3+ years of experience leading large-scale, GPU-intensive GenAI workloads (training, inference, and/or optimization).
• Proven track record of leading cross-functional teams on complex, high-stakes engineering initiatives.
• Exceptional communication and leadership skills, with a strong ability to drive alignment in matrixed environments.
• Deep experience in model serving, orchestration, and GPU resource management in large-scale deployments.
• Hands-on expertise with Kubernetes, distributed systems, and MLOps platforms.
• Preferred Qualifications
• In-depth understanding of generative model architectures, including diffusion models, transformers, and GANs
• FireflyGenAI
• About Adobe
• Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
• Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
• Let’s Adobe together
• At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
• Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
• Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
• AI Use Guidelines for Interviews:
• At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
• Expected Pay Range:
• Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $206,400 - $379,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.&xa;&xa;In California, the pay range for this position is $261,800 - $379,100&xa;In Washington, the pay range for this position is $242,600 - $351,225&xa;
• At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
• In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
• State-Specific Notices:
• California :
• Fair Chance Ordinances
• Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
• Colorado:
• Application Window Notice
• If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
• Massachusetts:
• Massachusetts Legal Notice
• It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.