Senior Director, Engineering, Adobe Intelligence Platform

Adobe

Senior engineering leader building Adobe’s AI infrastructure platform. Shaping agentic systems, scaling engineering teams, and driving adoption across Adobe’s creative, experience, and document clouds.

Posted 9/3/2026full-timeSan Jose • California, New York • 🇺🇸 United StatesSenior💰 $276,200 - $429,350 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading engineering organizations, driving AI-enabled strategies, and integrating complex platform components across various surfaces. Proven ability to influence cross-functional teams and establish governance controls while fostering a culture of innovation and leadership development.

Highest-signal resume keywords

AI/ML SystemsPlatform Infrastructure ExperienceAgentic FrameworksEngineering Organization DevelopmentCross-Functional Influence

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Full-Stack Engineering StrategyModel Gateway InfrastructureKnowledge Graph ServicesMemory SystemsAI Registries

Soft Skills

Exceptional Communication SkillsLeadership DevelopmentInspiring Teams

Tools & Technologies

Adobe Intelligence PlatformObservability ControlsSecurity and Privacy Governance

Industry Keywords

Agile MethodologiesOperational PatternsTeam StructuringGlobal Team Collaboration

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and drive a holistic, full-stack engineering strategy for the Adobe Intelligence Platform
Integrate platform components into web, desktop, and mobile surfaces
Partner with global teams to accelerate timelines and unify the customer experience
Grow the organization through hiring, team structuring, and leadership development
Model and drive AI-enabled ways of working to plan, review, and ship software
Own technology strategy and roadmaps for agentic orchestration, model gateway infrastructure, knowledge graph services, memory systems, AI registries, agentic harnesses, and skill catalogs
Establish and run operating rhythms covering planning, prioritization, dependencies, and progress measurement
Partner with Research and Design to move applied AI innovations into production
Drive adoption of the Adobe Intelligence Platform across Adobe’s cloud offering areas
Collaborate with Security, Privacy, and Legal to build observability, security, privacy, safety, trust, and governance controls into the architecture

Requirements

What you’ll need

12+ years of engineering experience, including significant time leading engineering organizations through ambiguity and change
Direct experience with platform or infrastructure work
Working fluency in AI/ML systems, including evals, context management, and model gateways
Technical depth with agentic frameworks and operational patterns for managing them at scale
Track record of building or substantially reshaping an engineering organization, including hiring, structuring teams, and developing leaders
Comfort influencing progress with a platform in a shifting technical landscape
Strong cross-functional influence and ability to drive platform adoption across global teams
Exceptional communication skills and ability to inspire teams and express a compelling vision

Benefits

Comp & perks

Annual Incentive Plan (AIP) for short-term incentives
Certain roles may be eligible for a new hire equity award
Comprehensive benefits programs
Equal Employment Opportunity and accessibility accommodations