Senior Consultant, Agentic Delivery Acceleration , Agentic Delivery Acceleration, AWS Professional Services

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 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