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Senior Consultant, Agentic Delivery Acceleration (AWS) Professional Services Team

Amazon

Senior Consultant, Agentic Delivery Acceleration (AWS) Professional Services Team

Amazon

Chicago, IL, USA

·

On-site

·

Full-time

·

1w ago

Application deadline: Apr 23, 2026

AWS Professional Services is revolutionizing how we build and scale AI-powered solutions. As Consultant, Agentic Delivery Acceleration, you'll pioneer the rapid development of agentic AI capabilities that transform how AWS Professional Services leverages artificial intelligence to reimagine how we deliver value to customers.

Within AWS Professional Services, you'll maintain end-to-end product management of the Agentic Delivery Acceleration (ADAPT) business architecture, driving feature prioritization and roadmap decisions, and orchestrating rapid prototyping through beta releases. You'll balance strategic product thinking with hands-on technical execution, working directly with the field to accelerate adoption of leading AI technologies while establishing best practices for agentic delivery across our global organization.

If you're passionate about combining product management discipline with hands-on experimentation in emerging AI technologies, and ready to collaborate with cross-functional teams to deliver transformative solutions, this role offers an exceptional opportunity to shape the future of AI professional services delivery at AWS.

  • Key job responsibilities
  • Lead ADAPT product roadmap and architecture, maintaining end-to-end oversight of business architecture, feature prioritization, backlog management, and technical coherence to maximize customer value and business impact
  • Lead rapid prototyping initiatives by orchestrating 30-45 day sprint cycles with cross-functional teams, translating customer needs into actionable requirements and delivering beta solutions
  • Drive prototype-to-production transitions by establishing seamless handoff processes with engineering teams to scale beta solutions into fully supported GA releases with appropriate maintenance frameworks
  • Experiment hands-on with emerging technologies including Quick Suite, Kiro, and other agentic AI platforms to evaluate capabilities, identify integration opportunities, and inform data-driven roadmap decisions
  • Establish product KPIs and success metrics to measure adoption rates, customer satisfaction, time-to-value, and business impact, using data-driven insights to drive continuous product improvement
  • Build and influence cross-functional partnerships across Pro Serve delivery, product, engineering, sales, and leadership teams to align on strategy, resource allocation, and investment priorities
  • Develop go-to-market strategies and enablement programs including positioning, messaging, best practices, and playbooks that accelerate team proficiency and drive successful adoption of AI Platform capabilities
  • Conduct customer discovery and stakeholder management through user research, feedback synthesis, and executive engagement to identify unmet needs, validate assumptions, and align diverse teams on product vision

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

  • 2+ years of leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale experience
  • 5+ years of delivering customer engagements in a professional services role experience
  • Bachelor's degree in STEM field
  • 5+ years of cloud computing experience

Preferred Qualifications

  • Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
  • Experience in technical product management, program management or engineering
  • Experience with AI/ML technologies
  • Project Management Professional (PMP) or equivalent certification
  • AWS experience preferred

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, CO, Denver - 153,600.00 - 207,700.00 USD annually
USA, IL, Chicago - 153,600.00 - 207,700.00 USD annually
USA, MA, Boston - 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

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Solution Architect L2

0개 리포트

$178,190

총 연봉

기본급

$71,276

주식

$89,095

보너스

$17,819

$124,733

$231,647

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge