Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

Amazon is hiring a Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries in Dallas, United States. It pays $183k-$247k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this AI consultant role is Builds AI ●●●●: the job is building AI systems.
The listed pay starts 21% above the typical AI consultant posting on Level.
Tools and skills the posting cites include AWS, Machine learning and Generative AI.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design and implement custom GenAI and ML applications and models on AWS as a Principal Delivery Consultant.

AWSMachine learningGenerative AI

cloud-architectureclient-facingmodel-deploymentai-strategy

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Principal 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 Principal 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.

221100

Key job responsibilities
As an experienced technology professional, you will be responsible for:

- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Produce AI-native deliverables - custom AI tools for customers rather than static documents or generic artifacts
- Must have both business fluency AND technical capability,
- Comfortable navigating complex customer relationships, identifying business problems and building trust.
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- 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:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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 pioneeredcloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companiestrust 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 (diversity) 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

- 8+ years of cloud architecture and solution implementation experience
- Bachelor's degree in Computer Science, Math, or a related field
- Experience managing and delivering large-scale enterprise IT projects
- Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies

Preferred qualifications

- degree in advanced technology, or AWS Professional level certification
- Knowledge of compliance and security standards across the enterprise IT landscape
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience implementing AWS services in a variety of distributed computing environments
- Experience managing executive customer relationships and key business stakeholders
- Experience with enterprise architecture frameworks (like TOGAF, Zachman) and identifying the relationships between business services, information, applications and global infrastructure assets
- Experience with enterprise systems including SAP, Oracle, and custom applications
- Experience in performance optimization and cost management for cloud environments
- Experience explaining technical concepts in pre-sales environments

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, GA, Atlanta - 182,800.00 - 247,300.00 USD annually
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
USA, TX, Dallas - 182,800.00 - 247,300.00 USD annually

How we rate this

Principal Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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 Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $183k-$247k a year.
The role is based in US, TX, Dallas.
The job was posted on June 11, 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

Cloud ArchitectureClient FacingModel DeploymentAI StrategyAWSMachine learningGenerative AI

Also common in AI consultant jobs at this level

Python LLM LangChain Fine-tuning Java AI agents

Pay

This job starts at: $183k
Typical AI consultant job: $151k

This posting starts 21% above the typical AI consultant job. See AI consultant jobs

Questions you could be asked

Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where client facing was part of your work. What did you do?
Tell me about a project where model deployment was part of your work. What did you do?
Tell me about a project where ai strategy was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Cloud Architecture, Client Facing, Model Deployment, AI Strategy, and AWS. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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