Forward Deployed AI Engineer — Lifecycle Marketing

Adobe Adobe · Enterprise · San Jose, CA +1

This role focuses on building and deploying AI agentic systems to reinvent marketing workflows within Adobe's Growth Marketing & Insights organization. The engineer will be embedded with the Lifecycle Marketing team, redesigning repeatable workflows and creating tools to transform how marketing managers operate. The goal is to improve existing processes and measure success by the impact on user workflows.

What you'd actually do

  1. You'll be embedded with the Lifecycle Marketing (LCM) team, working alongside them, learning their craft, and building tools and automations that transform the way they operate.
  2. Your goal is to upend the current workflow by redesigning the repeatable workflows that marketing managers rely on every day (briefs, intake, reviews, approvals, launches, reporting, analytics).
  3. You'll also be part of the connective tissue across the AISI team.
  4. You'll 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.
  5. We work shoulder-to-shoulder with marketers across every function and measure ourselves by this question: did we improve the way that someone works?

Skills

Required

  • 5+ years of technical experience
  • 2+ years building and deploying AI applications
  • analytical thinking
  • creative problem-solving
  • collaboration
  • Expertise in AI development platforms and tooling (e.g. Claude Code, Cursor, agent frameworks, API integrations, Azure, AWS, etc.)
  • Expertise in Python, SQL
  • Hands-on experience building AI-powered tools, automations, or agentic systems
  • Strong communication skills
  • Ability to manage multiple relationships and workstreams simultaneously

Nice to have

  • Direct experience working inside an LCM team or marketing operations function
  • Familiarity with Adobe's marketing technology ecosystem: Experience Manager, GenStudio for Performance Marketing, Adobe Analytics, Adobe Journey Optimizer, Workfront, etc.
  • Experience building internal tools or playbooks that outlasted your involvement and spread beyond your immediate team

What the JD emphasized

  • building and deploying AI applications
  • building AI-powered tools, automations, or agentic systems

Other signals

  • AI agentic systems
  • rebuilding workflows
  • customer-facing AI products