Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re 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 Opportunity
The GTM Agentic AI Operations team is leading the shift to an Agentic operating model for Adobe GTM and Sales. This function is the orchestration layer that operationalizes Adobe GTM and Sales strategy into end to end Agentic AI workflows that compress planning cycles from months to weeks, launch more personalized campaigns across every route to market, and streamline manual tasks so sellers can focus on talking to customers. We are building an always-on Agentic operating layer that connects strategy, data, and frontline execution for the Digital Media business.
The Applied AI Engineering Pillar
As a Sr. Applied AI Engineer you will drive efficiency and excellence in sales operations building and scaling robust AI agents and workflows to streamline the sales cycle and processes. You will partner with Sales operations, Campaign specialists, Product managers, and Data/Analytics engineers to tackle problems and bottlenecks using emerging technologies from the AI and agentic landscape.
Key Responsibilities
Build, tune, and refine AI agents to help the digitization and streamlining of sales operational tasks
Implement, strategize, and improve AI prompts and context to achieve optimal output, throughput, and performance
Determine, procure, and curate the necessary API/MCP integrations
Build orchestrated workflows within and across agents
Perform necessary data curation to bridge source data to agents
Translate business requirements and ideas into working agents and agentic processes
Maintain logic documentation/diagrams, monitor performance, and (re)align agents to changing requirements and evolving technologies
Qualifications/Experience
BS/Advanced degree in quantitative fields: Computer Science, Data Science, Engineering, Business Analytics, Math/Statistics, or a related field
7+ years of experience in an applied AI engineering or related role with 2+ years in agentic development, and/or with a combination of context/prompt engineering
Expert-level Python proficiency with emphasis on modular, object-oriented code, strict typing, and rigorous unit/integration testing for production
Experience with building both conversational agents and workflow agentic processes in production
Applied experience with multiple LLM stacks/frameworks (e.g., OpenAI, Claude, Gemini, RAG pipelines), and agent orchestration systems (e.g., LangGraph, AutoGen, CrewAI, or LangChain building collaborative autonomous and complex AI workflows
Demonstrated comfort with prompt design strategies (chain-of-thought, few-shot) and context window optimization to ensure high-quality LLM outputs
Familiarity with cloud platforms (AWS/Azure), REST APIs, and containerization (Docker, K8s)
Experience implementing and managing Vector Databases (e.g., Pinecone, Milvus, Weaviate) for RAG (Retrieval-Augmented Generation) pipelines.
Proficiency in Databricks and SQL (DDL/DML) driving scalable data architecture and holistically integrating prompt designs, vector databases, and memory strategies to deliver advanced LLM solutions
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
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
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 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 applicable characteristics protected by law. Learn more.
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