Director of Machine Learning, AI Infrastructure

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

About The Role

The Adobe Experience Platform (AEP) team is seeking an innovative Director of Engineering for AI Infrastructure to lead the development of a scalable and extensible Agent Orchestrator Infrastructure AI agents tooling automation and quality roundtrip. Your work will help fundamentally transform how we serve support and accelerate time-to-value for our customers by empowering internal engineering team to move fast in building agents or integrating customer and partners agents.

As an Engineering leader you will be responsible for the design and development of Agentic-first solutions

In this role you will collaborate with other members of our multidisciplinary team including solution architects and data scientists to build scalable systems that transform and establish our commitment to setting new industry benchmarks.

Key Responsibilities

Strategic Leadership & Vision

• Define and execute the technical strategy for Agent Orchestrator Infrastructure that supports Adobes AEP portfolio aligning engineering initiatives with business objectives and customer outcomes

• Champion the evolution of agentic architectures including A2A and MCP protocols to enable seamless orchestration of Adobe and partner agents

• Drive innovation in AI-powered workflows data infrastructure and customer-facing solutions

Team Management & Organizational Development

• Build mentor and scale a world-class multidisciplinary engineering team with engineers data scientists and solution architects fostering a culture of innovation customer obsession and technical excellence

• Collaborate effectively across multiple vertically aligned engineering teams product management UX design and field organizations to ensure seamless integration of customer success solutions into AEP
  

Product & Technical Execution

• The role requires deep expertise in agentic architectures multi-agent orchestration and integration of AI agents with enterprise systems using protocols like A2A and MCP.

• Experience with cloud-native platforms microservices API design and distributed systems is essential.

• The Director should champion engineering best practices for AI model deployment reliability and operational excellence with a strong focus on security privacy and compliance.

Engineering Innovation & Customer Success

• Champion the development of scalable automation solutions targeting 99.9% platform uptime and measurable high quality deliverables between iterations

• Establish engineering best practices for AI model deployment system reliability and operational excellence while ensuring compliance with security privacy and regulatory standards
  

Required Qualifications

Educational Foundation & Core Experience

• Master degree in Computer Science Engineering or related technical field with 10 years of software engineering experience including 5 years in engineering leadership roles managing teams of 10 engineers

• Demonstrated expertise in Applied AI/ML with 3-5 years of hands-on experience deploying production AI systems including deep understanding of LLMs generative AI prompt engineering and RAG architectures
  

Technical Leadership & Architecture

• Proven track record of architecting and delivering large-scale cloud-native platforms and distributed systems with expertise in microservices API design and enterprise integration patterns

• Strong background in customer intelligence platforms analytics systems and data pipeline architecture with experience building real-time decision engines and predictive modeling systems

• Product and growth mindset with a strong ability to translate customer challenges into scalable automated solutions that drive adoption and business impact

Leadership & Communication

• Exceptional communication skills with the ability to influence senior stakeholders present to executive leadership and drive alignment across diverse technical and business teams

• Proven ability to hire develop and retain top engineering talent while fostering inclusive high-performance team cultures focused on customer outcomes

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