Lead Customer Facing Applied AI Engineer

San Jose, CA - USA

Yearly Salary: $ 172500 - 306625

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

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-classAI and traditionalengineersdedicated 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:

ImplementA2A 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 adata 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 andmaintainevaluation pipelinesfor 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 usingPyTorchor 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 onwhatsworkingwhatsnot 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 isusable measurable and scalableacross many customers.

What You Bring:

8 yearsof software engineering experience with2 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 abuild-first mentalitythat seeks answers inthe practical application.

A strong senseofmentorshipandteam building to groweveryones roles.

Current understanding of the state of AIandareaggressivelykeeping up on the latestdevelopments.You should be able to articulate the benefits ofdifferent architectural options.

ExpertiseinPython including hands-on work withPyTorchor similar frameworks (TensorFlow JAX etc.).

Familiarity withA2A (application-to-application) integration patterns:

REST/gRPCAPIs webhooks queues or event-driven systems.

Authentication rate limits and basic reliability patterns.

Comfortable withdata-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 todive into implementationwith 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 toLLM applications(RAG agents prompt pipelines) and their evaluation.

Experience with logging/observability stacks (e.g.OpenTelemetry Prometheus/Grafana Datadog etc.).

Familiarity withMLOps/LLMOpsconcepts:evaluationharnesses prompt/version management feature flags or canary rollouts.

Proficiencyin Java/Scala along with associated frameworks.

Proventrack recordofshipping production featuresand iterating based on real-world feedback.

Strong communicationskills 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

Priorworkincustomer-facing technical rolesor close collaboration with Customer Success / Solutions / Forward Deployed Engineering teams.

Marketing or CRM domain knowledge

Our compensation reflects the cost of labor across several U.S. geographic markets and we pay differently based on those defined markets. The U.S. pay range for this positionis $$306625 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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.

Adobe is proud to be anEqual Employment Opportunityemployer. 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 applicable characteristics protected by law.Learn more.

Adobe aims to make 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 emailor call .

Our CompanyChanging 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...