Senior Software Engineer Meta Factory Agent Harness

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

Job summary

Adobe is seeking a Senior Software Engineer to advance the Meta Factory agent harness within the Unified Platform. You will shape execution, tool use, and lifecycle patterns across multiple teams, setting interfaces and standards for agents and tools.

You will evaluate new runtimes and drive scalable, secure architectures while mentoring engineers and sharing knowledge across groups. Applicants should have a track record in distributed systems, agentic platforms, and AI-enabled infrastructure,

Qualifications

• 12+ years of software engineering experience delivering high-impact systems.
• Expertise in distributed systems, runtime design, and platform architecture.
• Experience building agentic systems, LLM infrastructure, or AI-enabled platforms.
• Proven ability to lead cross-team technical work, including design reviews.
• Strong communication skills and ability to mentor engineers.

Responsibilities

• Shape the technical direction of the Agent Harness across execution, tool use, context, state, and lifecycle management.
• Define interfaces and standards for how agents, tools, and Meta Factory interact with the harness.
• Evaluate emerging agent runtime and tool-use patterns for Adobe's needs.
• Build reusable architecture patterns for secure, scalable, and maintainable systems.
• Lead cross-team technical work and resolve complex design challenges.
• Share expertise through design docs, technical reviews, and mentoring engineers.

Skills

Distributed systems

Agent runtimes

LLM infrastructure

Platform architecture

Cross-team leadership

Design reviews

Technical decision-making

Job description

JOB LEVEL

P55

EMPLOYEE ROLE

Individual Contributor

The 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. What this team ships multiplies across thousands of Adobe engineers, and it's the substrate the rest of Adobe's agentic efforts build on.

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. Think of it as our own version of Claude Code, optimized for Adobe needs, model independent and operated for the whole company.

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.

What you’ll do

• 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.

What you’ll need to succeed

• 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.

Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. 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. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $228,600 - $331,050

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during live interviews and where it’s restricted during live interviews. See how we think about AI in the hiring experience.