Senior Forward Deployed Engineer

About the role

Adobe Experience Platform powers real-time customer experiences for large enterprises, and the Forward Deployed Engineer role sits at the intersection of solution architecture, technical consulting and hands-on engineering. Embedded with Adobe's most strategic customers, you work directly with their teams to solve complex platform challenges, design scalable architectures and build what is needed to unblock adoption and expansion. You operate inside cross-functional Customer Pods, which are small, autonomous teams with end-to-end ownership.

Key responsibilities

• Partner with strategic customers on their architecture, workflows, security requirements and business objectives.
• Turn customer problems into scalable solution designs, reference architectures and working prototypes.
• Troubleshoot production issues, from data ingestion and identity resolution to journey orchestration and audience activation.
• Design and validate end-to-end enterprise solutions across AEP, RTCDP, AJO and adjacent Adobe systems.
• Lead architecture workshops, health checks and technical deep-dives that build customer trust.
• Rapidly prototype and iterate on new capabilities, using AI-assisted tools as standard.
• Feed field patterns back into the product roadmap and own the technical relationship with each account.

Required profile

• Typical background of 8-15+ years across solution architecture, software engineering, technical consulting or customer-facing engineering.
• Masters or bachelor's degree in computer science or a related field.
• Ability to write code, build prototypes and ship working software, and to explain complex technical concepts to technical and non-technical audiences.
• Strong interest in AI-assisted development tools such as Claude Code, Cursor or GitHub Copilot.

Required skills

• AEP / RTCDP / AJO and enterprise architecture, including identity resolution and API design.
• Cloud platforms (AWS, Azure) and data platforms (event-driven architectures, streaming pipelines, data lakes).
• Observability, SLOs and production monitoring.
• Nice to have: regulated industries (financial services, healthcare), data governance, workflow orchestration (Temporal, Step Functions) and experience driving architecture decisions.

The pay range for the U.S. market is $159,200 - $301,600 per year, varying by location and experience; in California it is $208,300 - $301,600. Applications are accepted on an ongoing basis.