About the job
Exciting opportunity for an Operations AI Developer and drive operational excellence at Adobe. Design, build, and deploy AI-powered solutions to optimize workflows and efficiency. Collaborate with cross-functional teams, influence executive strategy, and shape the future of AI adoption in a dynamic,
Responsibilities
Identify and prioritize high-impact opportunities to apply AI and other tooling across C&P Operations workflows and processes
Design, develop, and roll out AI agents, copilots, and automation tools that boost operational efficiency — focused primarily on internal applications across C&P, with potential to extend Adobe-wide
Collaborate across departments with operations, engineering, and the ATS team to transform business needs into scalable solutions
Rapidly prototype, test, and iterate on tools powered by artificial intelligence using modern frameworks (LLMs, agent architectures, automation platforms)
Connect new solutions into existing tools and the emerging executive ecosystem to ensure cohesion across the broader ops organization
Build with Adobe-wide scalability in mind — solutions should be maintainable, well-documented, and transferable beyond their initial context
Establish and promote guidelines for responsible AI usage, governance, and operationalization
Drive adoption by building intuitive, high-value solutions aligned to real user workflows
Monitor performance, measure impact, and continuously improve deployed solutions in partnership with ops and analytics teams
Qualifications
Minimum
5+ years of software development experience, with a strong foundation in software engineering fundamentals
Background in AI/ML, computer science, or a related technical field
Experience working with extensive language models and contemporary AI frameworks
Demonstrated capability to develop AI-driven applications, agents, or automation solutions
Skilled in Python or comparable languages, with experience handling APIs, MCPs, and integrations
Solid software engineering practices: clean code, version control (Git), testing rigor, and maintainability
Experience building and maintaining production systems beyond the prototype stage
Comfort working with data — querying, transforming, and visualizing operational metrics
Familiarity with CI/CD pipelines and deploying solutions in enterprise environments
Understanding of security considerations when building AI-integrated tools
Strong problem-solving skills and genuine curiosity for exploring new technologies
Ability to move quickly from concept to prototype and iterate based on feedback
Effective communicator who can bridge technical and business perspectives — including with senior leadership
Ability to operate independently in ambiguous environments and drive outcomes with limited direction
Preferred
Exposure to operations, process design, or enterprise tooling ecosystems
Experience designing or contributing to executive-facing tools or dashboards
Experience building solutions intended to scale across a large, matrixed organization
Familiarity with AI governance frameworks and responsible AI practices in an enterprise context
Interest in shaping AI strategy within a business function
Experience working in a cross-functional environment alongside both engineering and non-engineering collaborators