Delivery Consultant – AI/ML, Professional Services, AWSI HCLS

Amazon Web Services (AWS); Chicago (IL); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Delivery Consultant in ProServe to design, implement, and manage scalable GenAI and ML solutions for Healthcare and Life Sciences on AWS.

You’ll work as an individual contributor to meet customer goals with hands-on builds and best practices throughout the project lifecycle. You’ll collaborate with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies, with about 50% co-location on site with customers and

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Knowledge of AWS services (EC2, ELB, RDS, Route53, S3) and distributed environments.
• Experience implementing AWS services across diverse computing environments.

Responsibilities

• Design, implement, and engineer complex, scalable GenAI and ML apps on AWS.
• Provide technical guidance and implementation support using AWS AI/ML services.
• Collaborate with stakeholders to gather requirements and propose model training and deployment strategies.
• Act as trusted advisor on industry trends and emerging technologies.
• Share knowledge via mentoring, training, and reusable artifacts.

Skills

Cloud architecture

AWS services knowledge

Distributed computing experience

Education

Advanced technology degree

AWS Professional level certification

Job description

Description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to serve as a technical builder for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you'll work closely with customers to design, implement, and manage AWS AI ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing hands‑on technical builds and best practices throughout the project lifecycle.

You will bring a "T-shaped" profile: proficiency across AI/ML, architecture modernization, and data engineering, paired with distinctive depth in AI/ML. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in building 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 builders to our customers, providing guidance on best practices, 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. This role requires approximately 50% co‑location on site with customer, AWS and partner teams within the U.S.

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 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 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.

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Key job responsibilities

• Designing, implementing, and engineering complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
• 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

Basic Qualifications

• 3+ years of cloud architecture and solution implementation experience
• Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
• Experience implementing AWS services in a variety of distributed computing environments

Preferred Qualifications

• 5+ years of IT implementation experience
• degree in advanced technology, or AWS Professional level certification
• 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 and technical expertise (design and implementation) in cloud computing technologies
• Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure, network, compute, storage, and virtualization experience
• Experience in performance optimization and cost management for cloud environments
• Experience presenting technical solutions to diverse audiences 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.

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.

Pursuant to the San Francisco 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.

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.

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
• parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually

USA, FL, Tampa - 131,300.00 - 177,600.00 USD annually

USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually

USA, MA, Boston - 131,300.00 - 177,600.00 USD annually

USA, NC, Raleigh - 131,300.00 - 177,600.00 USD annually

USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually

USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually

USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually

Company - Amazon Web Services, Inc.

Job ID: A10543796