Senior Software Engineer, Meta Factory Agent Harness

Adobe; San Jose (CA); On-site; USD 228,600 - 331,050; Full time

Job summary

Adobe seeks a Senior Software Engineer to advance the Meta Factory Agent Harness, focusing on agent execution, tool use, context and lifecycle management.

You will lead cross-team engineering efforts, define interfaces between agents, tools, and the harness, and drive secure, scalable, and maintainable architectures for AI-enabled systems used by Adobe engineers.

Qualifications

• 12+ years of software engineering delivering high-impact systems.
• Strong distributed systems and runtime design expertise.
• Experience building agentic/AI-enabled systems.
• Proven leadership across multiple teams and design reviews.
• Excellent written and verbal communication; mentoring.

Responsibilities

• Shape technical direction of the Agent Harness across execution, tool use, context, state, and lifecycle management.
• Define interfaces for agents, tools, and Meta Factory interactions.
• Evaluate new agent runtimes and tool-use patterns for Adobe.
• Build reusable patterns for secure, scalable agentic systems.
• Lead cross-team technical work and resolve complex design issues.
• Share expertise via design docs, reviews, and mentoring.

Skills

Distributed systems

Runtime design

Platform architecture

Agentic systems

LLM infrastructure

Technical leadership

Documentation & mentoring

Job description

Opportunity

Adobe Unified Platform is building the system that changes how software gets made at Adobe, a platform that understands builders’ intent, breaks down complex work, executes it through autonomous agents, and improves with every cycle. This team ships multiplies across thousands of Adobe engineers and provides the substrate for Adobe’s agentic efforts. Meta Factory is the core of that platform: the Agentic Builders Experience that defines how agents understand their goals, decompose work, use tools, evaluate outcomes, and improve over time. We are looking for a Senior Software Engineer with deep expertise in agent runtimes, model context protocols, multi‑agent coordination, tool calling patterns, sandboxed execution, and feedback‑driven improvement systems to help build and shape Meta Factory’s core agent harness systems.

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.

Qualifications

• 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, security, and operational reliability.
• Experience leading complex technical work across teams, including design reviews, implementation planning, and technical decision‑making.
• 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.

Compensation

U.S. pay range for this position is $173,500 – $331,050 annually (California: $228,600 – $331,050).

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.