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About the Role

This role involves owning the design and delivery of AI-driven security features, shaping platform architecture, and leading the team's approach to AI risks. You will guide product security engineers, developers, and product teams, balancing security, speed, and user experience through risk-based decisions, and strengthening code quality.

Responsibilities

• Own the design and delivery of AI-driven security features, from Azure OpenAI integrations to retrieval-augmented generation and context retrieval.
• Shape the architecture of the team's platforms across React, Python FastAPI, Celery, Postgres, Redis, and Kubernetes.
• Define how the team evaluates LLM and retrieval outputs so security analyses stay accurate and reliable.
• Lead the team's approach to AI risks like prompt injection, data exposure, and output manipulation.
• Spot gaps in security coverage and build capabilities that deepen findings across products.
• Guide product security engineers, developers, and product teams as a technical partner.
• Balance security, speed, and user experience through defensible risk-based decisions.
• Align design and approach across teams as a technical lead.
• Strengthen code quality through reviews, secure coding practices, and mentorship.
• Apply AI-assisted tools like GitHub Copilot and Cursor to move faster while protecting quality.

Requirements

• Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related field.
• 6 or more years in software development, including full-stack or backend work and a record of owning features.
• Command of Secure SDLC practices, application security, threat modeling, and how security reduces risk.
• Hands-on experience building production AI systems with LLMs, prompt engineering, AI APIs, and retrieval-based systems.
• A clear view of AI risks like prompt injection and hallucination, with experience evaluating outputs for quality and safety.
• A record of design decisions that shape system architecture.
• Familiarity with cloud platforms, preferably Azure, plus containers, CI/CD pipelines, Git, and modern workflows.
• Skill in aligning teams, leading technical work, and explaining risk to technical and non-technical audiences.
• Experience mentoring engineers and lifting security practices across a team.

Skills

• Python
• JavaScript
• React
• AI workflows
• data pipelines
• user-facing tools
• LLMs
• prompt engineering
• AI APIs
• retrieval-based systems
• cloud platforms
• Azure
• containers
• CI/CD pipelines
• Git
• modern workflows

Location

• US

Work Type

• Full-time

Experience Level

• 6+ years

Education Level

• Bachelor's degree or equivalent practical experience

Salary/Compensations

• $144,800 - $261,450 annually
• $180,600 - $261,450 annually

Benefits

• Comprehensive benefits programs

About the Company

• 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 GenStudio 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.
• At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same.

Equal Opportunity

• 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.
• Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
• 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 an 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 provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews.