Senior Software Engineer, Meta Factory Agent Harness

About the role

The Opportunity Adobe Unified Platform is building the system that changes how software gets made at Adobe. Meta Factory is the core of that platform: the Agentic Builders Experience that defines how agents understand their goals, decompose work, use tools, evaluate their own outcomes, and improve over time.

Responsibilities

• Shape the technical direction of the Agent Harness across agent execution, tool use, context, state, and lifecycle management.
• Define clear interfaces and standards for how agents, tools, and Meta Factory interact with the harness.
• Evaluate emerging agent runtime and tool-use patterns, and help teams adopt the right approaches for Adobe’s needs.
• Build reusable architecture patterns for agentic systems that are secure, scalable, and maintainable.
• Lead cross-team technical work and help resolve complex design challenges across Meta Factory and partner teams.
• Share expertise through design docs, technical reviews, internal forums, and mentoring engineers working on agentic systems.

Requirements

• 12+ years of software engineering experience, with a track record of delivering high-impact systems used by multiple teams or products.
• Strong expertise in distributed systems, runtime design, and platform architecture.
• Experience building agentic systems, LLM infrastructure, developer platforms, or other AI-enabled systems.
• Proven ability to design scalable systems that balance near-term delivery with long-term maintainability.
• Experience leading complex technical work across teams, including design reviews, implementation planning, and technical decision-making.
• Proven ability to balance near-term delivery with long-term maintainability, security, and operational reliability.
• Strong written and verbal communication skills, including experience writing design documents and sharing technical knowledge across teams.
• Experience mentoring engineers and building team confidence with new execution patterns and infrastructure.

Qualifications

• Proven success in building and shaping complex systems.
• Experience with agent runtimes, model context protocols, multi-agent coordination, tool calling patterns, sandboxed execution, and feedback-driven improvement systems.
• Knowledge of Adobe’s product suite and its integration with AI technologies.
• Experience with cloud-based services and infrastructure.

Skills

• Experience with distributed systems and runtime design.
• Strong understanding of software architecture principles.
• Proficiency in programming languages relevant to the role.
• Experience with AI and machine learning concepts.
• Ability to lead and mentor technical teams.

Benefits

At Adobe, we offer a competitive benefits package including health insurance, retirement savings plans, paid time off, and more. We also provide opportunities for professional development and personal growth.

Pay

The expected pay range for this position is $173,500 -- $331,050 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Schedule

Full-time position.