Sr. GenAI Specialist, HCLS, AWS Specialist & Partner - Industries

Amazon is hiring a Sr. GenAI Specialist, HCLS, AWS Specialist & Partner - Industries in New York, United States. It pays $148k-$200k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock and SageMaker.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

BedrockSageMaker

The Sr. GenAI Specialist is part of the AWS Specialist and Partner Organization (ASP) and focuses on Healthcare and Life Sciences (HCLS) customers. ASP Specialists own the end-to-end go-to-market strategy for their technology domains and bring the business and technical expertise customers need to transform their businesses. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together, they give HCLS customers the expertise and scale to build innovative solutions for their most complex challenges.

Are you a customer-obsessed builder who has carried a number and closed complex enterprise deals? Do you bring healthcare or life sciences experience, a background in enterprise data strategy, fluency in GenAI and agentic systems, and the executive presence to win C-level decisions? Join the AWS HCLS team as a Sr. GenAI Specialist and help the largest healthcare and life sciences organizations put GenAI to work in production.

In this business development role, you will identify, qualify, and close GenAI opportunities across strategic HCLS accounts and own revenue and adoption goals for Amazon Bedrock and related AWS GenAI services. You'll work with executives and line-of-business leaders to understand how they plan to use GenAI in their technology and business transformation, then turn that plan into funded initiatives on AWS. Specialist Solutions Architects own technical validation, so your focus stays on building pipeline and moving customers from first conversation to production workloads.

Deals in this space often depend on the customer's data foundation. You'll bring enterprise data strategy into the conversation early and work with AWS data, storage, and analytics specialists to keep data readiness from stalling an opportunity. Engagements range from Bedrock-based applications and agents to model training and inference on AWS compute, storage, and networking.

The ideal candidate has the business and technology background to lead engagements with C-level executives and with VPs and Directors in both line-of-business and engineering organizations. You know Generative AI and the ML-powered use cases that matter in HCLS, and you can explain the value of Amazon Bedrock, Amazon SageMaker AI, Frontier Agents, and other AWS GenAI services to a data scientist or a CEO. Strong candidates follow GenAI market trends and the model provider ecosystem closely and turn what they learn into new pipeline. Much of the work runs through teams you don't manage, so you'll partner with AWS product, solutions architecture, sales, marketing, and Professional Services teams, and externally with customers, partners, and model providers.

We work backwards from our customers' most complex, business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. ASP teams include business development, specialist, and technical solutions architecture roles.

This position may require travel up to 25% of the time.

Key job responsibilities
- Build and manage a GenAI pipeline across strategic HCLS accounts, and close against revenue and adoption goals

- Qualify opportunities early by confirming the business problem, executive sponsor, budget, data readiness, and path to production

- Lead executive conversations on GenAI and data strategy, and turn them into funded initiatives on AWS

- Move pilots and proofs of concept into production workloads that drive sustained consumption

- Partner with specialist Solutions Architects, account teams, partners, and model providers to win deals, including competitive displacements

- Negotiate and execute business agreements with customers and partners

- Work with AWS data, storage, and analytics specialists to address the data foundation needs (including hybrid and interoperable architectures) that would otherwise stall GenAI deals

- Turn winning deal patterns into repeatable plays, positioning, and field enablement that help other teams sell

- Analyze adoption trends, competitive dynamics, and market signals to find new pipeline and influence GTM priorities

About the team
**Diverse Experiences**
Amazon 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.

**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.

**Inclusive Team Culture**
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

**Mentorship and 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.

Basic qualifications

- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience explaining complex technical concepts to various business and technical audiences

Preferred qualifications

- Experience identifying, negotiating, and executing complex legal agreements
- Experience designing, implementing, and scaling workforce development programs across large-scale operations, including forecasting workforce needs and leveraging analytics to drive program decisions
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience using analytical tools for workforce metrics and reporting

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 - 147,900.00 - 200,100.00 USD annually
USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually
USA, MA, Boston - 147,900.00 - 200,100.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, VA, Herndon - 147,900.00 - 200,100.00 USD annually

How we rate this

Sr. GenAI Specialist, HCLS, AWS Specialist & Partner - Industries at Amazon rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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

Sr. GenAI Specialist, HCLS, AWS Specialist & Partner - Industries is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $148k-$200k a year.
The role is based in US, NY, New York.
The job was posted on November 12, 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

BedrockSageMaker

Questions you could be asked

What's a project where you used Bedrock hands-on?
Walk me through how you've used SageMaker in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Bedrock and SageMaker. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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