Senior Agentic AI Engineer for Sales Ops

adobe; San Francisco (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Adobe is seeking a Sr. Applied AI Engineer to build scalable AI agents and workflows that accelerate the sales cycle in the Digital Media business. You will partner with Sales Ops, Campaign specialists, PMs, and Data/Analytics engineers to solve problems with the latest AI tech.

The role requires 7+ years in applied AI, expert Python, experience with multiple LLM stacks, and cloud/container skills. This on-site California opportunity offers strong compensation and potential long-term incentives.

Qualifications

• Advanced degree in quantitative fields with strong AI focus.
• 7+ years in applied AI engineering; 2+ years in agentic development.
• Expert Python for production with testing and typing.
• Experience building real time and batch agent workflows.
• Familiarity with multiple LLM stacks and orchestration systems.
• Comfort with prompt strategies and context window optimization.
• Cloud platforms REST APIs and containerization experience.
• Vector databases experience for RAG pipelines and SQL/Databricks.

Responsibilities

• Build, tune, and refine AI agents to automate sales tasks.
• Design prompts and context to optimize outputs and efficiency.
• Integrate APIs and MCPs to connect systems.
• Create orchestrated workflows across agents.
• Transform data to align sources with agents.
• Maintain docs and monitor performance to adapt to changes.

Skills

Python

LLM frameworks

Agent orchestration

API integrations

Data transformation

Cloud platforms

Docker Kubernetes

SQL Databricks

Education

BS/Advanced degree in quantitative fields

Tools

LangChain

LangGraph

AutoGen

CrewAI

OpenAI

Claude

Gemini

Pinecone Milvus Weaviate

Docker

Kubernetes

AWS Azure

Job description

Adobe is seeking a Sr. Applied AI Engineer to build scalable AI agents and workflows that accelerate the sales cycle in the Digital Media business. You will partner with Sales Ops, Campaign specialists, PMs, and Data/Analytics engineers to solve problems with the latest AI tech.

The role requires 7+ years in applied AI, expert Python, experience with multiple LLM stacks, and cloud/container skills. This on-site California opportunity offers strong compensation and potential long-term incentives.