We are seeking a Senior Full-Stack Developer to build and expand systems that connect enterprise data platforms (Databricks, Snowflake), AI decision engines, and Adobe Workfront workflow automation. You will operate at the intersection of application engineering, enterprise data architecture, AI optimization, and secure workflow governance. .

What You’ll Do

1.

AI-Enabled Platform Architecture:

• Build and develop scalable RESTful APIs that power AI-assisted enterprise workflows.
• Incorporate and manage pre-trained AI models within secure production settings.
• Implement agentic AI workflows that complete multi-step business processes using existing models.
• Debug, tune, and harden AI model behavior (accuracy, determinism, latency, cost).
• Apply model optimization strategies (timely composition, caching, routing, guardrails).
• Build and operate AI orchestration layers (context management, tool access, policy enforcement).
• Evaluate and implement RAG or prompt-based architectures where appropriate (no new model training).

2.

Enterprise Data Integration:

• Integrate applications and AI services with Databricks and Snowflake for large-scale operational decisioning.
• Build governed data access layers optimized for performance, security, and reliability.
• Enable secure integration with CRM, GTM, and operational systems.
• Deliver systems capable of operating in restricted or air-gapped environments.

3. Workflow Orchestration (Workfront)

• Build and implement Adobe Workfront integrations to automate enterprise workflows.
• Build custom Workfront API integrations and Fusion scenarios.
• Align Workfront orchestration with decision layers powered by advanced technology.
• Ensure workflow governance, permissioning, and enterprise compliance standards are upheld.

4. Engineering Excellence

• Build modern full-stack applications using scalable frontend and backend technologies.
• Ensure systems meet enterprise standards for reliability, observability, and security.
• Partner multi-functionally with Strategy & Ops, Sales, and Engineering leaders to translate business needs into scalable architecture.

What We’re Looking For

Experience

• 7–10+ years of experience as a Full-Stack Developer in enterprise SaaS or large-scale systems environments.
• Demonstrable experience crafting and operating RESTful APIs in production.
• Experience delivering systems in secure or regulated enterprise environments.

Technical Expertise

• Proficiency in Node.js, Java, or Python.
• Experience integrating with Databricks and/or Snowflake.
• Demonstrated experience incorporating and managing pre-trained AI models in production.
• Strong expertise in AI model debugging and optimization (not model development).
• Experience implementing AI orchestration patterns, timely engineering, and RAG workflows.
• Solid understanding of distributed systems, scalability, and performance tuning.

Workfront Requirements

• Adobe Workfront Certified Developer (required or strongly preferred).
• Experience building custom Workfront integrations via API and Workfront Fusion.
• Solid understanding of workflow governance and enterprise configuration within Workfront.

Approach

• Systems thinker with architectural judgment.
• Bias toward production reliability over experimentation.
• Strong multi-functional collaboration skills.
• Ability to translate ambiguity into scalable technical build.

Nice to Have

• Experience with Adobe Experience Platform.
• Experience with vector databases and retrieval-based architectures.
• Experience supporting sales, GTM, or revenue operations platforms.
• Experience with AI observability and governance tooling.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together:

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

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 the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.