This role pays more than
58%
of similar roles. Most pay
$150,337–$244,062
— the shaded band above.
At the midpoint, this role pays about
$200k
versus about
$197k
for comparable roles.
Based on 240 similar postings.
Employer
About Adobe
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has
206 open roles
on FindRole.
Listed pay typically runs
$183,300–$265,350
across 204 roles with salary data.
As a Sr. Applied AI Engineer on the GTM Agentic AI Operations team, you will drive efficiency in sales operations by building, tuning, and refining scalable AI agents and workflows. You will collaborate with cross-functional partners to solve bottlenecks, implement advanced prompting strategies, manage API/MCP integrations, and perform last-mile data transformations to connect source data with agentic systems. The role requires expert-level Python proficiency, experience with LLM stacks like OpenAI, Claude, and Gemini, and orchestration frameworks such as LangGraph, AutoGen, CrewAI, or LangChain. You will also utilize Vector Databases like Pinecone or Milvus for RAG pipelines, alongside Databricks, SQL, and containerization tools like Docker and K8s. This role focuses on creating an agentic operating layer to automate sales cycles and streamline manual tasks within the Digital Media business unit.
Build, tune, and refine AI agents to automate and streamline sales operational tasks.
Implement and optimize AI prompts and context to improve output quality and performance.
Research and integrate API and MCP connections into the agentic infrastructure.
Develop orchestrated workflows across multiple agents to simplify complex business processes.
Perform last-mile data transformations to connect source data with active AI agents.
Maintain technical documentation, monitor system performance, and realign agents based on evolving requirements.
What we're looking for
BS/Advanced degree in a quantitative field such as Computer Science, Data Science, AI/ML Engineering, Business Analytics, Math, or Statistics.
7+ years of experience in applied AI engineering or a related role.
At least 2 years of experience in agentic development or with a combination of context and timely engineering.
Expert-level Python proficiency with an emphasis on modular, object-oriented code, strict typing, and rigorous testing for production.
Experience building real-time interactive agents and batch agentic workflow processes in production.
Applied experience with multiple LLM stacks/frameworks (e.g., OpenAI, Claude, Gemini, RAG pipelines) and agent orchestration systems like LangGraph or CrewAI.
Familiarity with cloud platforms (AWS/Azure), REST APIs, and containerization (Docker, K8s).
Proficiency in Databricks and SQL to manage vector databases and integrate advanced LLM solutions.
Remote (Palo Alto, CA)154 days ago
$80,000–$215,000
Python
LangChain
LangGraph
LangSmith
LlamaIndex
Hugging Face
Anthropic API
Generative AI
LLMs
Vector Databases
Knowledge Graphs
Java
Spring AI
LangChain4j
Embabel
Distributed Systems
Remote (Palo Alto, CA)+329 days ago
$100,000–$215,000
Python
LangChain
LangGraph
LangSmith
LlamaIndex
Hugging Face
Anthropic API
Generative AI
LLMs
Vector Databases
Knowledge Graphs
Retrieval-Augmented Generation
Java
Spring AI
LangChain4j
Embabel
Distributed Systems