Sr. Applied AI Engineer

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 EngineeringPillar

As a Sr.Applied AIEngineeryou willdriveefficiency and excellencein sales operationsbuilding and scalingrobust AI agents and workflows tostreamline the sales cycle will partnerwithSales operations,Campaign specialists,Product managers,andData/Analytics engineersto tackle problems and bottlenecks using emerging technologies from the AI and agentic landscape.

Key Responsibilities

Build, tune, and refineAI agents to helpthedigitization 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 workflowswithin andacross agents

Performnecessarydata curation tobridge source data to agents

Translate business requirements and ideas into working agents and agenticprocesses

Maintain logic documentation/diagrams,monitorperformance, 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 anappliedAI engineeringorrelated role with 2+ years in agentic development, and/or with a combination of context/prompt engineering

Expert-level Python proficiencywith emphasis on modular, object-oriented code, strict typing, andrigorous unit/integrationtesting for production 

Experience with building both conversational agentsandworkflowagentic processesin production

Appliedexperience withmultiple LLM stacks/frameworks (, OpenAI, Claude, Gemini, RAG pipelines), and agent orchestration systems (,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)

Experienceimplementing and managing Vector Databases (, Pinecone, Milvus,Weaviate) for RAG (Retrieval-Augmented Generation) pipelines.

Proficiencyin Databricks and SQL (DDL/DML)drivingscalable data architectureandholisticallyintegratingprompt designs, vector databases,and memory strategies todeliveradvanced LLMsolutions

Our compensation reflects the cost of labor across several geographic markets, and we pay differently based on those defined markets. The pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and 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

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.