# Senior Consultant, Agentic Delivery Acceleration , Agentic Delivery Acceleration, AWS Professional Services at Amazon

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 Works on AI ●●●○; you can [apply on Amazon](https://jobsbylevel.com/go/04074cae-0cd9-4a2b-9d35-c646b659ae02?utm_medium=ai-agent).

AI Level 3, AI centrality 68 out of 100. US, IL, Chicago.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 68 out of 100)
- Location: US, IL, Chicago
- Salary: $154k-$208k
- Posted: November 14, 2026
- Apply: https://jobsbylevel.com/go/04074cae-0cd9-4a2b-9d35-c646b659ae02?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-consultant-agentic-delivery-acceleration-agentic-delivery-acceleration-aws-professional-services-at-amazon-c7605c

## Prepare for this job

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## Description

Do you want to shape how a global consulting organization builds software in an AI-first world? As Senior Consultant, Agentic Delivery Acceleration, you'll be the hands-on builder who turns the AI-Driven Development Lifecycle (AI-DLC) into the training, tooling, and agents that thousands of AWS Professional Services consultants use on customer engagements. AI-DLC is our methodology for how humans and AI work together to deliver software. It isn't a traditional software development lifecycle (SDLC) with an AI assistant added on. It defines what AI executes, what humans validate and own, and where quality gates sit when agents do most of the building. In this role, you'll write both the playbook and the code that brings it to life. 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

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