Back to jobs
Amazon10K+ employees

Delivery Consultant - AI/ML, Professional Services, HCLS

Arlington, VASalary not listedPosted 11 days ago

Immigration summary

Visa sponsorship

LikelyHigh confidence

This employer has recently sponsored work like this.

3,086 recent H-1B filings · 1 similar-role filing

View visa evidence

Green card sponsorship

Strong historyHigh confidence

This employer has recently sponsored green cards at scale.

790 recent certified PERM filings · 39 similar-role filings

View green card evidence

Job 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 expertise in one of these technical areas. 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. This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S.

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

Implementing designs, and engineering complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs

Providing technical implementation of complex architecture throughout project delivery, with a focus on using AWS AI/ML services

Collaborating with customers, team members, and stakeholders to gather requirements and solution effective model training, building, and deployment strategies

Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

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 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

  • 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
  • AWS Professional level certification

Preferred qualifications

  • 5+ years of IT implementation experience
  • 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.

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, CA, San Francisco - 151,000.00 - 204,300.00 USD annually
USA, GA, Atlanta - 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, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, TN, Nashville - 124,700.00 - 168,800.00 USD annually
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Other openings

1351 of 24500 recent openings at this employer state a sponsorship restriction.

Employer H-1B history

3,086
recent certified H-1B filings
1,128
new-hire petitions
1
filings for similar roles
2,440
so far in FY2026

Filed titles like this role: delivery consultant - ai ml

More evidence details
  • 1 certified H-1B filing for this same role
  • 3,086 recent certified H-1B filings across the employer
  • Still filing this year — 2,440 filings in FY2026
  • 1,462 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • Strong filing activity in VA
  • 5,024 further USCIS approvals for extensions or transfers
  • 1,351 other recent postings at this company state a sponsorship restriction
  • The posting says nothing about sponsorship either way

Strong filing activity in VA.

Green card sponsorship evidence

Employer PERM history

790
recent certified PERM filings
39
filings for similar roles
94
filings in this location
Certified PERM filings by fiscal year
2023959
2024688
20250
202614YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Amazon
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 317 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.