Senior Delivery Consultant – AI/ML, WWPS ProServe

Amazon is hiring a Senior Delivery Consultant – AI/ML, WWPS ProServe in Denver, 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 AWS, artificial intelligence and machine learning.
Level classifies it as a senior role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

Design and implement AI/ML and cloud solutions for public sector customers as a Senior Delivery Consultant at AWS.

aws

artificial-intelligencemachine-learningcloud-computingsolution-architectureconsulting

Application deadline: Oct 27, 2026

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.

Key job responsibilities
- Designing, developing, and implementing complex, scalable, and secure solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Integrate multiple third-party software products into a unified platform stack
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team
About AWS
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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

Basic qualifications

- 7+ years of technical specialist, design and architecture experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of software development with object oriented language experience
- 5+ years of continuous integration and continuous delivery (CI/CD) experience
- 5+ years of IT platform implementation in a technical and analytical role experience
- Current, active US Government Security Clearance of TS/SCI with Polygraph

Preferred qualifications

- Experience designing data integration pipelines that ingest, normalize, and fuse data from multiple analysis disciplines into unified analytical environments — including data formats, metadata standards, and correlating structured and unstructured data from disparate sources.
- Hands-on DevOps experience — CI/CD for model training and deployment workflows, infrastructure-as-code for reproducible experiment environments, container orchestration, and GitOps-based deployment patterns connecting mission workflows to platform infrastructure.
- Experience creating tutorials, worked examples, and reference architectures for AI/ML platforms — building a knowledge base that enables users with varying levels of platform familiarity to onboard and execute workflows independently.
- Deep hands-on experience across the AI/ML lifecycle — including data preparation, model training, evaluation, optimization, and deployment — on large GPU accelerated platforms, with demonstrated ability to work across multiple model architectures (LLMs, vision, multimodal).
- Experience translating AI/ML expertise into mission or business outcomes for non-ML audiences — including helping users adopt complex platforms and designing domain-specific workflows.

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 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually

How we rate this

Senior Delivery Consultant – AI/ML, WWPS ProServe at Amazon rates 70 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

Senior Delivery Consultant – AI/ML, WWPS ProServe is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $154k-$208k a year.
The role is based in US, CO, Denver.
The job was posted on September 30, 2026.
Seniority: senior.
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

Artificial IntelligenceMachine learningCloud ComputingSolution ArchitectureConsultingAWS

Also common in AI consultant jobs at this level

Generative AI AI agents Python Machine learning SQL RAG

Pay

This job starts at: $154k
Typical AI consultant job: $153k

This posting starts close to the typical AI consultant job. See AI consultant jobs

Questions you could be asked

Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where solution architecture was part of your work. What did you do?
Tell me about a project where consulting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Artificial Intelligence, Machine learning, Cloud Computing, Solution Architecture, and Consulting. 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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