Senior Platform & AI Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Digital ExperienceIndustries

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 solutions

Responsibilities

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

Skills

LLM

Autonomous Agents

Multi-Agent Systems

Data Engineering

ETL

ELT

API Integrations

Cloud Technology

Data Models

Data Flow Diagrams

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.

Open-source alternatives may attract users away from Adobe's subscription model.

Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.

Adobe's subscription model includes special pricing for students, teachers, and businesses.

Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.

Remote work boosts demand for Adobe's cloud-based document management solutions.

AR's popularity in marketing benefits Adobe's 3D and AR tools.

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