Sr. Delivery Consultant - AI/ML, WWPS ProServe (AWS)

Amazon; Arlington (VA); On-site; USD 153,600 - 207,800; Full time

Job summary

Amazon is seeking a Sr. Delivery Consultant - AI/ML for WWPS ProServe in Arlington, VA. You will design, implement, and scale AI/ML solutions for AWS customers, applying generative AI techniques to real-world problems.

You will collaborate with stakeholders to scope use cases, train models, and ensure successful delivery while navigating security and compliance requirements given Top Secret clearance.

Qualifications

• 3+ years cloud architecture and solution implementation experience.
• 5+ years machine learning, statistical modeling, data mining, and analytics experience.
• Experience in SDLC, coding standards, architectures, code reviews, version control, CI/CD, testing and operations.
• Experience in defining benchmarks for GenAI model performance.
• Ability to translate complex technical solutions to diverse audiences.
• Current, active US Government Security Clearance of Top Secret or above.

Responsibilities

• Design and implement complex, scalable, and secure AI/ML solutions on AWS for customers.
• Develop and deploy ML models and generative AI apps, run experiments, optimize at scale.
• Collaborate with stakeholders to identify high-value use cases and gather requirements.
• Provide guidance on applying AI responsibly and cost-efficiently, ensuring best practices.
• Act as trusted advisor on AI advancements and data sources for business impact.
• Share knowledge internally through mentoring and prototyping new technologies.

Skills

Cloud architecture

Machine learning

GenAI / Generative AI

Stakeholder communication

Top Secret clearance

AWS services knowledge

Tools

AWS

Job description

Sr. Delivery Consultant - AI/ML, WWPS ProServe

Job ID: 10461955 | Amazon Web Services, Inc.

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.

As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

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.

Key job responsibilities

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
• Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
• Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility

About the team

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 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 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 (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 careeradvancing 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

• 3+ years of cloud architecture and solution implementation experience
• 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders
• Current, active US Government Security Clearance of Top Secret or above

Preferred Qualifications

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Experience in performance optimization and cost management for cloud environments
• Experience communicating technical concepts to diverse audiences in pre-sales environments
• Experience in external or internal customer facing, complex and large scale project management

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

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

Important FAQs for current Government employees

Before proceeding, please review the following FAQs

https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

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