AmazonSenior Consultant, Agentic Delivery Acceleration , Agentic Delivery Acceleration, AWS Professional Services
Amazon is hiring a Senior Consultant, Agentic Delivery Acceleration , Agentic Delivery Acceleration, AWS Professional Services in Chicago, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical AI consultant posting on Level.
- Tools and skills the posting cites include Claude, Claude Code and Codex.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Key job responsibilities
- Build AI-DLC into the AI coding agents and frameworks used on customer engagements. Contribute steering files, hooks, skills, and prompts that embed AI-DLC phases, quality gates, and human accountability. Build agents that check and improve how well delivery agents follow the methodology, and create tested guidance and guardrails for running AI-DLC in customer environments
- Build modular, role-based AI-DLC training (labs, workshops, and assessments). Run early cohorts, measure what lands, and take it from beta to global rollout, using the same terminology at every level
- Track the capabilities AI-DLC depends on (such as context management, review agents, and security workflows) and how well common delivery tools support each one. Feed field evidence back into how the methodology and its terminology evolve
- Serve as hands-on AI-DLC subject matter expert on selected customer engagements and mentor a growing network of regional champions
- Publish blog posts, customer stories, and open-source contributions, then grow into tech talks, executive briefings, re:Invent sessions, and customer workshops that help establish AWS as a recognized voice in AI-native delivery
A day in the life
You'll split your week between building and teaching. One morning you might tune an agent's steering files after reviewing how it handled a customer engagement. That afternoon you might run a training cohort and gather feedback on what worked. You'll also join selected customer engagements to see the methodology in action, and bring what you learn back into the code and the curriculum.
About the team
Our team is transforming AWS Professional Services into an AI-enabled engine of productivity and value creation. We build for two groups: the thousands of consultants who deliver those engagements, and the customers they serve. Over the next few years, our focus is making AI-native delivery the standard way we work, and AI-DLC is at the heart of it. You'll work directly with the leader who owns the AI-DLC methodology, and your work is how the methodology reaches consultants as code and curriculum.
Basic qualifications
- 6+ years of Information Technology (IT) experience
- 4+ years of software development, or 4+ years of relevant technical position experience
- 4+ years of cloud architecture and solution implementation experience (AWS, Microsoft Azure, Google Cloud, or another hyperscaler)
- Experience delivering software with AI coding agents (e.g., Claude Code, Codex, Kiro) on customer-facing projects or prototypes
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
Preferred qualifications
- Experience delivering AI-DLC, spec-driven, or agentic development engagements
- Experience building AI agents or multi-agent workflows
- Experience building technical training such as workshops, labs, or curriculum
- Experience with technical writing or public speaking (blog posts, conference talks, customer briefings)
- Customer-facing consulting experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, IL, Chicago - 153,600.00 - 207,700.00 USD annually
USA, NY, New York - 168,900.00 - 228,500.00 USD annually
USA, TX, Austin - 153,600.00 - 207,700.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,700.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,700.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,700.00 USD annually
How we rate this
Senior Consultant, Agentic Delivery Acceleration , Agentic Delivery Acceleration, AWS Professional Services at Amazon rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI consultant jobs at this level
Pay
- This job starts at
- $154k
- Typical AI consultant job
- $151k
This posting starts close to the typical AI consultant job. See AI consultant jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Claude Code that you've run into, and how did you work around them?
- What's a project where you used Codex hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI agents, Claude, Claude Code, and Codex. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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