Senior Platform & AI Engineer

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.