Head of ML Engineering & Agentic AI Systems

Adobe; Seattle (WA); On-site; USD 216,000 - 312,000; Full time

Job summary

Adobe seeks an engineering leader to define technical direction and grow a high-performing ML/AI team for memory, retrieval, and agentic capabilities across document products. You will shape roadmaps with PMs, translate customer problems into executable projects, and drive production-ready ML systems.

You will own end-to-end ML product lifecycle, establish rigorous evaluation and scaling practices, and mentor engineers while collaborating with research, design, and product teams to deliver

Qualifications

• 10+ years applying modern AI/ML techniques to build ML features or products with leadership experience.
• 6+ years of people management experience.
• Hands-on experience managing engineers or ML practitioners, including hiring and performance management.
• Experience delivering ML or GenAI systems from 0→1 through production and iteration.
• Strong foundation in ML, software engineering, and distributed systems to guide architecture decisions.
• Familiarity with LLM-based applications and retrieval-augmented generation.
• Track record of delivering cloud-scale, data-driven products widely used by large customers.
• Ability to influence technical and non-technical stakeholders in a high-growth environment.
• Strategic thinking with a long-term vision and customer-focused product mindset.
• Master’s or Ph.D. in CS/ML or equivalent practical experience.

Responsibilities

• Define a multi-horizon strategy for agentic, memory, and retrieval capabilities.
• Partner with Product Management to shape the roadmap and translate problems into measurable projects.
• Bridge Adobe’s research, product, design, and engineering for aligned efforts and production readiness.
• Hire, develop, and retain a diverse team of engineers and ML practitioners with clear growth paths.
• Own the full lifecycle of ML product development: design, data/ML pipelines, evaluation, productization, and MLOps.
• Establish rigorous evaluation practices for quality, including benchmarks and regression testing.
• Foster disciplined engineering culture with fast experimentation and customer engagement.
• Manage scope, risk, and delivery with data-driven decisions and cost-conscious design.

Skills

AI/ML leadership

People management

Hands-on engineering

ML systems 0→1

Distributed systems

LLM applications

Cloud-scale products

Stakeholder influence

Strategic thinking

Customer-focused

Education

MS/PhD in CS/ML

Tools

MLOps tooling

Experiment tracking

Job description

Adobe seeks an engineering leader to define technical direction and grow a high-performing ML/AI team for memory, retrieval, and agentic capabilities across document products. You will shape roadmaps with PMs, translate customer problems into executable projects, and drive production-ready ML systems.

You will own end-to-end ML product lifecycle, establish rigorous evaluation and scaling practices, and mentor engineers while collaborating with research, design, and product teams to deliver