Principal Data & AI Engineer

Adobe • San Jose, CA

2d • $159,200 - $301,600

About The Position

Adobe Customer Solutions is looking for a full time Data & AI Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe’s Digital Experience enterprise customers. Customer-facing Engineers who excel at solving complex technical challenges, delighting customers, and driving agent-based automation in a collaborative environment will thrive here. If you have a strong foundation in Data Engineering, building scalable API based integrations and are passionate about architecting autonomous AI systems—including LLM agents and intelligent automation—this is your ideal next step.

Requirements

• Experience as an enterprise Data Engineer from a consulting background
• AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
• 10+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
• 10+ years experience in Python programming language preferably using PySpark
• Software development experience working with Apache Airflow, MongoDB, MySQL
• 4+ years working with AWS AI/ML and agentic services such as SageMaker, Bedrock, Vector databases (OpenSearch, Pinecone)
• Demonstrated experience (or significant exposure) designing, integrating, and scaling agentic AI systems—such as LLM agents, multi-agent frameworks (LangChain, LangGraph, LangSmith, MLFlow), autonomous orchestration, or decision-making pipelines. Capable of evolving data engineering solutions into intelligent, agent-based offerings.
• Strong capacity to manage numerous projects are a must
• Experience using Docker or Kubernetes is a plus
• BS/MS degree in Computer Science or equivalent industry experience
• Ability to identify and resolve problems associated with production grade large scale data processing workflows
• Excellent communication skills (we’re a geographically distributed team)
• Experience creating and maintaining unit tests and continuous integration.
• Passion for creating Intelligent data pipelines that customers love to use.

Nice To Haves

• Experience & knowledge with Web Analytics or Digital Marketing
• Experience & knowledge with Customer Data Platform (CDP) or Data Management Platform (DMP)
• Experience & knowledge with Adobe Experience Cloud solutions

Responsibilities

• Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack
• Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions
• Develop new features and improve existing data integrations with customer data ecosystem
• Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.
• Collaborate with a Project Manager to bill and forecast time for customer solutions
• Work with Project Managers to scope, bill, and forecast time for customer solutions, demonstrating agent-based AI and automation strategies.
• Develop and improve features that incorporate LLMs, AI agents, and/or multi-agent orchestration for dynamic data integration, workflow automation, and real-time business value.

Benefits

• At Adobe, you will be immersed in an exceptional work environment that is recognized around the world.
• You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
• If you’re looking to make an impact, Adobe's the place for you.
• Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level