Senior Delivery Consultant - AI/ML, WWPS Proserve

Description

Application deadline: Nov 17, 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 integration, testing and automation experience
- Current, active US Government Security Clearance of TS/SCI with Polygraph

Preferred Qualifications

- Hands-on experience with distributed model training (multi-node, multi-GPU), inference optimization (vLLM, TensorRT, or equivalent), and experiment tracking — with the ability to diagnose performance bottlenecks across model architecture, data pipeline, and hardware utilization.
- Experience with AI/ML platform tooling and orchestration — container-based ML workflows, pipeline orchestration (Airflow, MLFlow, Run:ai, or equivalent), data versioning, and agentic AI frameworks (LangChain, LlamaIndex, or equivalent) — sufficient to build end-to-end reference workflows across training, inference, and agentic use cases.
- 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.