Senior Platform & AI Engineer
Adobe
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!
Opportunity
Adobe Professional Services is seeking a Senior Platform & AI Engineer with proven experience building solutions and integrations using cloud technology stacks to address digital experience challenges for Adobe’s enterprise customers.
This role is ideal for customer-facing engineers who excel at solving complex technical problems, delighting customers, and advancing agent-based automation in collaborative environments. Candidates should have a strong foundation in data engineering and demonstrated success in building scalable API integrations, along with a passion for architecting autonomous AI systems—including LLM agents and intelligent automation.
What you’ll do
- Collaborate with Data Architects, Solution Consultants, and Product Engineering teams to capture customer requirements and build advanced 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, including 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 obstacles and integrate next-generation 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.
- 7+ years of experience architecting, building, and maintaining scalable, fault-tolerant data processing workflows using AWS technologies and Python (including PySpark); strong understanding of data architecture, ETL, and integration with tools like Apache Airflow, MongoDB, and MySQL.
- 2+ years working with AWS AI/ML and agentic services such as Bedrock, SageMaker, Lambda or newer agentic orchestration tools.
- Demonstrated experience designing, integrating, and scaling agentic AI systems—such as LLM agents, multi-agent frameworks (LangChain, LangGraph), autonomous orchestration, or decision-making pipelines.
- Practical knowledge of 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 requirements—working closely with Architects and Product Engineers for agentic AI and custom solutions.
- Rapidly evolves with AI, LLM, and agentic technologies—adapting to advances in autonomous systems and demonstrating a strong growth mindset.
- Able to turn customer requirements into sophisticated, autonomous solutions.
Special Consideration given for
- Proficiency in Customer Data Platform (CDP), Data Management Platform (DMP), or Content Management System (CMS).
- Proficiency in AI Tools available on the Adobe DX Platform or with third-party solutions.
- Experience & knowledge with Adobe DX Cloud 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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