Senior Forward Deployed Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

The Team: You will be joining the newly formed Forward Deployment Engineering (FDE) team within Adobes Digital Experience organization. As part of a key innovation initiative our mandate is to bridge the gap between product engineering and real-world implementation. We are a team of world-class AI and traditional engineers dedicated to solving the most complex challenges for the worlds largest companies ensuring they extract maximum value from the Adobe ecosystem.

The Opportunity: This is an opportunity to be a technical ambassador for Adobe. You will split your time between deep technical work and on-site collaboration with the engineering teams of global industry leaders. If you are passionate about customer empathy and technical excellence this role offers the best of both worlds: the excitement of a startup-style environment with the resources and scale of Adobe. Come help us build the future of digital experiences one customer success story at a time.

What Youll Do:

• Implement A2A integration patterns (APIs webhooks event streams connectors) so customers can plug our AI capabilities into their existing applications and workflows.
• Create reusable SDKs templates and reference implementations that reduce friction for customers adopting our AI features.
• Act like a data analyst for model behavior:
  • Query logs and metrics (SQL notebooks dashboards) to understand how models and prompts are performing in production.
  • Investigate failure modes edge cases and drift (e.g. low-quality responses latency spikes low adoption).
  • Segment metrics by customer cohort use case or configuration to find patterns and opportunities.
• Design and maintain evaluation pipelines for AI features:
  • Define success metrics and guardrails.
  • Set up offline and online evaluation (test sets acceptance thresholds user rating flows A/B tests).
• Instrument AI features with strong observability and testing:
  • Logging of inputs/outputs with privacy in mind.
  • Traces/timelines of model calls retrieval steps and downstream effects.
  • Dashboards and alerts for quality performance and usage.

• Design and implement AI-backed services and APIs in Python using PyTorch or similar frameworks.

• Work with customer-facing teams (Customer Success Solutions Forward Deployed) to:
  • Turn customer feedback and production data into prioritized improvements.
  • Provide clear data-backed insights on whats working whats not and why.
• Join customer calls and workshops to:
  • Understand their systems integration constraints and success criteria.
  • Guide them on how best to use our APIs SDKs and observability tools.
• Act as a bridge between customer needs and internal product/engineering ensuring what we build is usable measurable and scalable across many customers.

What You Bring:

• 8 years of software engineering experience with 2 years working with ML/AI or LLM-based applications.
• An inventive mind that is looking for the best solutions to the most interesting problems. This involves a build-first mentality that seeks answers in the practical application.
• A strong sense of mentorship and team building to grow everyones roles.
• Current understanding of the state of AI and are aggressively keeping up on the latest developments. You should be able to articulate the benefits of different architectural options.
• Expertise in Python including hands-on work with PyTorch or similar frameworks (TensorFlow JAX etc.).
• Familiarity with A2A (application-to-application) integration patterns:
  • REST/gRPC APIs webhooks queues or event-driven systems.
  • Authentication rate limits and basic reliability patterns.
• Comfortable with data-analyst-style work:
  • Writing SQL and working with analytics tools/notebooks.
  • Building or interpreting dashboards (e.g. metrics for model quality latency usage).
  • Turning data into clear actionable recommendations.

• Be willing to dive into implementation with a customer to make sure they are maximizing their use of AI.

• Experience with at least one cloud platform (AWS / GCP / Azure) and standard dev tooling (Git CI/CD Docker).
• Exposure to LLM applications (RAG agents prompt pipelines) and their evaluation.
• Experience with logging/observability stacks (e.g. OpenTelemetry Prometheus/Grafana Datadog etc.).
• Familiarity with MLOps/LLMOps concepts: evaluation harnesses prompt/version management feature flags or canary rollouts.
• Proficiency in Java/Scala along with associated frameworks.
• Proven track record of shipping production features and iterating based on real-world feedback.
• Strong communication skills with the ability to explain technical details and data insights to customers and non-ML stakeholders.
• Comfortable with 10%-25% travel to build relationships with customers

Desired Extras:

• Published technical writing or other communication
• A background in SaaS software
• Prior work in customer-facing technical roles or close collaboration with Customer Success / Solutions / Forward Deployed Engineering teams.
• Marketing or CRM domain knowledge

This role is eligible for bonus and equity

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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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