Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack
Job Summary
Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack.
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.
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.
Matching Summary
Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions & build required technology stack.
Salary
Base: $159,200 -- $301,600 annually; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
AWS technology stack
scalable API based integrations
autonomous AI systems
LLM agents
intelligent automation
data pipelines
Python programming language
Nice-to-have
customer delight
out-of-the-box thinking
innovative design principles
agent-based AI strategies
passion for creating intelligent pipelines
Key Requirements
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
2+ years working with AWS AI/ML and agentic services
AWS Certified Data Engineer – Associate or AWS Certified Cloud Practitioner
BS/MS degree in Computer Science or equivalent industry experience
Experience as an enterprise Data Engineer from a consulting background