Forward-Deployed AI Engineer - Marketing Analytics & Data Science

Adobe; San Jose (CA); On-site; USD 133,100 - 236,400; Full time

Job summary

Adobe is seeking a Forward Deployed AI Engineer in San Jose, California, to drive AI integration within its Growth Marketing & Insights team. This role involves working closely with marketing professionals to redesign workflows with AI technologies at their core.

The ideal candidate will have 8+ years of technical experience, expertise in AI tools, and strong communication skills to make technical concepts accessible. Competitive salary ranging from $133,100 to $236,400 annually based on qualifications.

Qualifications

• 8+ years technical experience and 2+ years in AI applications.
• Expertise in building AI tools and automations.
• Strong skills in managing multiple relationships simultaneously.

Skills

AI development platforms and tooling

Python

SQL

Communication skills

Tools

Azure

AWS

Claude Code

Cursor

Job description

Forward Deployed AI Engineer – AI Strategy & Innovation, Growth Marketing & Insights

Adobe's Growth Marketing & Insights (GMI) organization is in the middle of a genuine, ground‑up reinvention of how marketing teams operate. We are no longer adding AI tools to the margins—we're rebuilding workflows from first principles, with agentic AI at the center. The Forward Deployed AI Engineer role exists to make that happen. As a member of the AI Strategy & Innovation (AISI) team, you’ll be embedded with a marketing team, working alongside them, learning their craft, and building tools and automations that transform the way they operate. You are both a builder and a partner who can rapidly prototype solutions and take immediate feedback to improve them. You’ll also be part of the connective tissue across the AISI team, share what you build, incorporate what others have built into your own work, and help to establish the playbooks and patterns that scale good ideas across all of GMI. We work shoulder‑to‑shoulder with marketers across every function and measure ourselves by this question: did we improve the way that someone works?

Key Traits

• Genuine excitement about what AI can do right now and what it will do next. You are pulled toward new AI developments, not just keeping up with them. When a new capability surfaces, your first instinct is to get your hands on it. You have opinions about what’s useful, and what’s just hype, because you’ve tested enough of it to know the difference.
• An instinct for communication that runs as deep as your technical skills. Building a great tool is only half the job. The other half is getting someone to trust it, use it, and eventually own it. You’re patient with skeptics, know how to calibrate your approach, and measure yourself by whether people actually change how they work.
• Intense curiosity. Before you build anything, you ask questions. You want to understand the actual workflow, the real friction, the underlying goal—not just the surface‑level ask. You’d rather find the elegant fix than force a tool where it doesn’t belong.
• An appreciation for marketing work, and many ideas on how to transform it. You don’t need to be a seasoned marketer, but you respect the craft—and ideally you’ve spent meaningful time working in or alongside a marketing organization. When someone explains their workflow, you get it quickly and know which parts to push on.

Minimum requirements

• 8+ years of technical experience and 2+ years building and deploying AI applications.
• Expertise in AI development platforms and tooling (e.g. Claude Code, Cursor, agent frameworks, API integrations, Azure, AWS, etc.).
• Expertise in Python, SQL, and at least one other common language.
• Hands‑on experience building AI‑powered tools, automations, or agentic systems that change how real work gets done.
• Demonstrated ability to coach or enable others, with evidence that people you worked with changed their behavior as a result.
• Strong communication skills with the ability to make technical ideas feel accessible to non‑technical audiences.
• Ability to manage multiple relationships and workstreams simultaneously, meeting people where they are across different stages of AI fluency.

Preferred qualifications

• Direct experience working inside a marketing department or marketing operations function.
• Background in machine learning, with demonstrated experience in building models for segmentation, attribution, clustering, and other common marketing use cases.
• Familiarity with Adobe's marketing technology ecosystem: Adobe Experience Platform, Adobe Analytics, GenStudio for Performance Marketing, Adobe Journey Optimizer, Workfront, etc.
• Knowledge of Adobe's Creative & Productivity product lines: Photoshop, Illustrator, Premiere, Acrobat, etc.
• Experience building internal tools or playbooks that outlasted your involvement and spread beyond your immediate team.
• Background in consulting, solutions engineering, or client‑facing technical roles where you had to earn trust quickly and deliver tangible value fast.

Pay Range

Expected Pay Range: $133,100 – $236,400 annually (U.S.)

Equal Employment Opportunity Statement

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.