Principal AI Transformation Specialist - Amazon Quick, Customer Success Center of Excellence

Amazon is hiring a Principal AI Transformation Specialist - Amazon Quick, Customer Success Center of Excellence in New York, United States. It pays $210k-$284k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this customer service role Works on AI ●●●○: the daily work is on AI products, without building the model.
The listed pay starts 114% above the typical customer service posting on Level.
Tools and skills the posting cites include Bedrock, SageMaker and RAG.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

BedrockSageMaker

rag

AWS is seeking a seasoned transformation leader to reinvent how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a principal-level individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring a combination of executive-level strategic vision and practical credibility to help customers fundamentally reimagine their business processes using AI.

Amazon Quick is AWS's enterprise AI platform that enables organizations to transform how work gets done, from knowledge management and research to decision-making and operational workflows. This role focuses on helping customers move beyond AI experimentation to systematic business process reinvention at enterprise scale.
You will define the methodologies, frameworks, and repeatable models that shape how AWS and its customers approach AI-powered business planning, execution, and operation transformation. Your work will directly influence product roadmaps, partner ecosystems, and go-to-market strategies, creating lasting organizational and market impact across hundreds of enterprises globally.

Key job responsibilities
Strategic Customer Transformation
- Design and lead comprehensive “business execution” transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment.
Offering Development & Scaling
- Build repeatable transformation methodologies, maturity models, and assessment frameworks that enable AWS and partners to guide customers from AI experimentation to systematic business process reinvention at scale.
- Synthesize learnings from customer engagements into documented playbooks, best practices, and success patterns that inform AWS product roadmap and GTM strategy.
Partner Ecosystem Enablement
- Co-develop transformation offerings with strategic consulting partners (GSIs, SIs, boutique AI consultancies) and support the partner-led organization as they create enablement programs, including training, certification, and delivery toolkits, that scale high-quality customer success delivery through the partner ecosystem.
Customer Outcomes Management
- Monitor customer transformation health and proactively address adoption barriers while driving measurable business value realization (productivity gains, cost reduction, decision quality improvement) through structured success planning and executive business reviews.
Thought Leadership & Innovation
- Develop leading point-of-view content, maturity models, and best practices for AI-powered business execution transformation that establish AWS intellectual leadership
- Influence Amazon Quick product roadmap through synthesized customer insights and represent AWS as a recognized expert at industry forums and executive events.

About the team
Diverse Experiences

AWS 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.

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 & 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.

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.

Basic qualifications

- Experience leading large enterprise transformations with AWS/cloud services
- 10+ years of experience in senior customer-facing roles including customer success management, strategic consulting, or business transformation advisory, with direct accountability for enterprise customer outcomes
- 15+ years leading complex, large-scale business transformation or organizational change programs with significant technology enablement components in enterprise contexts
- Deep expertise in enterprise business execution and process transformation, with direct experience advising organizations through significant operational reinvention initiatives (not just technology implementations)
- L300+ understanding of Amazon Quick capabilities (AI-powered search, research agents, custom agents, workflows, knowledge management) and the AWS Gen AI platform (Amazon Bedrock, SageMaker, foundational models, RAG architectures) with ability to articulate technical capabilities in business value terms to executive audiences
- Demonstrated experience leading enterprise change management initiatives involving AI/automation adoption, including organizational capability building and adoption measurement

Preferred qualifications

- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Proven track record developing and scaling customer success programs or transformation methodologies, including creating original frameworks adopted broadly by large teams or partner organizations
- 5+ years of direct experience in business operations transformation, process optimization, or enterprise productivity initiatives at scale, with measurable outcomes achieved
- Strong executive presence with demonstrated ability to influence C-suite and VP-level stakeholders on business strategy and operational transformation (not just technology decisions)
- Deep understanding of AI/ML capabilities for business operations including knowledge management, research and analysis, decision support, workflow automation, and agentic AI for autonomous task execution
- Demonstrated ability to synthesize complex customer insights into actionable strategic frameworks with broad applicability across industries
- Hands-on experience with Amazon Quick, AWS AI/ML services (Bedrock, SageMaker), or comparable enterprise AI platforms in customer-facing delivery contexts
- Understanding of enterprise data architectures, governance frameworks, and integration patterns required for AI-powered business operations
- PMP, SCRUM, Agile, or SAFe certification with demonstrated track record driving measurable business outcomes (productivity improvement, cost reduction, decision quality) in enterprise transformation initiatives
- Experience designing large-scale organizational change management programs including communication, training, and adoption measurement systems
- Experience building partner ecosystems and enablement programs, including co-developing transformation methodologies with strategic consulting partners
- Published thought leadership in business transformation, AI adoption, or enterprise productivity, with track record influencing product roadmaps through customer insight synthesis

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Mountain View - 210,200.00 - 284,300.00 USD annually
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually

How we rate this

Principal AI Transformation Specialist - Amazon Quick, Customer Success Center of Excellence at Amazon rates 71 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.

Classification

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.

Key facts

Principal AI Transformation Specialist - Amazon Quick, Customer Success Center of Excellence is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $210k-$284k a year.
The role is based in US, NY, New York.
The job was posted on November 6, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGBedrockSageMaker

Also common in customer service jobs at this level

AI agents LLM SQL Python Machine learning Prompt engineering

Pay

This job starts at: $210k
Typical customer service job: $98k

This posting starts 114% above the typical customer service job. See customer service jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used Bedrock in your day-to-day work.
What are the limits of SageMaker that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG, Bedrock, and SageMaker. 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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