Amazon
Sr. Delivery Consultant – Modernization, Professional Services, AWS Industries
$154K–$239K
Boston, MA +9 · Senior · Full-time · Posted Oct 15, 2026
- Location
- Boston, MA
Jersey City, NJ
Austin, TX
Arlington, VA
Seattle, WA
New York, NY
Herndon, VA
Chicago, IL
San Francisco, CA
Dallas, TX - Experience
- 5+ years of consulting, design and implementation of serverless distributed solutions; alternatively, 7+ years of professional or military experience is stated for the degree qualification.
- Education
- Bachelor's degree, or equivalent qualification route of 7+ years of professional or military experience.
About the job
Leads technical architecture and delivery across large-scale customer transformation programs, advising executives and guiding teams on AI/ML, data modernization, and cloud architecture.
What you'll do
- Own end-to-end architecture and technical standards across concurrent transformation workstreams, including foundations for agentic AI.
- Advise customer executives on technology choices and align customer, partner, and engineering teams on architectural decisions.
- Advance AI-native delivery practices and multi-agent systems to improve builder productivity and time-to-value.
What they ask for
- Bachelor's degree, or 7+ years of professional or military experience.
- 5+ years of consulting, design and implementation of serverless distributed solutions experience.
- Experience as technical specialist in design and architecture.
Nice to have
- AWS Professional-level certifications (e.g., GenAI Developer Professional, Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty).
- Experience designing and operationalizing agentic AI systems, including multi-agent orchestration, tool-use agents, and workflow orchestration.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)
Tools
AWS, Amazon Bedrock, AgentCore, AI-DLC, RAG (Retrieval-Augmented Generation), data lakes, lakehouses, vector databases
AI focus
Leads AI/ML and agentic AI architecture, governance, responsible AI practices, multi-agent orchestration, and AI-native delivery transformation.
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