Senior Platform & AI Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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!

Opportunity

Adobe Professional Services is looking for a full-time Platform & AI Engineer with experience in building solutions/integrations using cloud technology stacks to solve digital experience solutions for Adobes 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 systemsincluding LLM agents and intelligent automationthis is your ideal next step.

What youll do

• Collaborate with Data Architects Solution Consultants and Product Engineering teams to capture customer requirements and build advanced agentic AI solutions using autonomous agents multi-agent systems or LLM-based orchestrations.
• Partner with enterprise customers to develop intelligent data flows and agent-based integrations that automate optimize and enable autonomous decision-making within Adobe DX solutions.
• Define implement and promote Data Engineering guidelines through clear documentation and reusable work. These include data models ETL/ELT pipeline compositions data flow diagrams source-to-target mappings schema definitions data dictionaries metadata documentation governance and quality standards and security and compliance protocols.
• 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.
• Encourage the team to overcome technical challenges and integrate next-generation agentic AI development principles.
• Work with Project Managers to scope bill and forecast time for customer solutions demonstrating agent-based AI and automation strategies.

Requirements

• BS/MS degree in Computer Science or equivalent industry experience
• AWS Certified Data Engineer - Associate
• 7 years of experience architecting building and maintaining scalable fault-tolerant data processing workflows using AWS core/managed services (API Gateway S3 EC2 Lambda Glue IAM CloudFormation CloudWatch Athena DynamoDB EMR Kinesis DataSync Transfer Family) and Python (including PySpark); strong understanding of data architecture ETL/ELT.
• 2 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 systemssuch 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.
• Practical knowledge of CI/CD Jenkins CloudFormation/Terraform deploying AI agents and ML models into production tracking autonomous workflow performance and maintaining agentic ML operations using Docker or Kubernetes alongside traditional pipelines.
• Skilled in advanced data profiling feature engineering and crafting agentic workflows that incorporate reasoning context and self-directed automation.
• Effective at bridging data engineering AI agent development and customer-facing requirementsworking closely with Architects and Product Engineers for agentic AI and custom solutions.
• Rapidly evolves with AI LLM and agentic technologiesadapting to advances in autonomous systems and demonstrating a strong growth mindset.
• Able to turn customer requirements into sophisticated autonomous solutions.

Special Consideration given for

• AWS Certified Machine Learning Specialty OR AWS Certified Solutions Architect - Associate
• Proficiency in Customer Data Platform (CDP) Data Management Platform (DMP) or Content Management System (CMS)
• Experience & knowledge with Adobe DX Cloud solutions
• Proficiency in AI Tools available on the Adobe DX Platform or with third-party 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.

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