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

The GenAI Specialist is part of the AWS Specialist and Partner Organization (ASP) focusing on Healthcare and Life Sciences (HCLS) organizations. ASP Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business impact and technical expertise to help our customers succeed and transform their businesses. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our HCLS customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential with digital transformation? Do you have the healthcare and/or life sciences industry experience, enterprise data strategy and architecture background, fluency in GenAI and agentic systems approach, and commercial mind with high impact executive engagement skills necessary to help position AWS as the cloud provider of choice for healthcare and life sciences customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Industries Team as a Sr. Go-To-Market (GTM) Specialist focused on helping customers build their enterprise GenAI and data strategy and scale the foundation and architectures on AWS.

You will have the opportunity to define go-to-market (GTM) strategy for Amazon Bedrock and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities.

In this role, you will work closely with customers to understand how they are thinking of integrating GenAI as part of their technology and business transformation. You will need to dive deep to understand and be entrusted as an advisor to enterprise strategy formation and how AWS can support GenAI & infrastructure deployment requirements involved in scaling GenAI model training across modalities and use-cases that take advantage of the power of AWS’ storage, compute, networking, and GenAI technologies.

As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with c-level stakeholders and VPs/ Directors in Line of Business as well as in Development and Engineering. You have domain expertise in Generative AI and key ML powered use cases. You have the technical depth to articulate the benefits of Amazon Bedrock, SageMaker AI, Frontier Agents, and other GenAI related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers and model providers.

This role is responsible for driving revenue, adoption, and innovation partnering with the largest and most strategic customers in HCLS. We work backwards from our customer’s most complex and 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.

Position may require the ability to travel 25% of the time, as needed.

Key job responsibilities Develop and execute GTM strategies that accelerate adoption of GenAI services and open data structure on AWS

Identify and scale repeatable customer engagement models, enterprise architectural ready GTM assets, and data modernization strategies that drive adoption of AWS data services

Partner across AWS data, storage, analytics specialist, and partner organizations to define and operationalize best practices for interoperable and hybrid data architectures

Build scalable field enablement, positioning, and guidance for GenAI architecture strategies and multi-model approach with scalable and cost performant deployment patterns

Analyze customer adoption trends, competitive dynamics, and market signals to identify growth opportunities 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.

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Basic qualifications

• Experience in developing, negotiating and executing business agreements
• Experience in a professional field or military
• Experience developing strategies that influence leadership decisions at the organizational level
• Experience managing programs across cross functional teams, building processes and coordinating release schedules
• Experience working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking
• Experience working with Business Application Technologies, including, but not limited to End User Compute (EUC), Supply Chain, Contact Center as a Service, Consumer Data Applications, Encrypted Communications, and/or Communication Developer Services
• Experience solving problems with technology in the Healthcare/Life Sciences Industry
• Experience solving problems with technology in the Media & Entertainment Industry
• Experience solving problems with technology in the Global Financial Services Industry
• Experience solving problems with technology in the Telecommunications industry
• Experience solving problems with technology in the Automotive & Manufacturing industries
• Experience solving problems with technology in the Energy & Utilities industries
• Experience in Go-To-Market, Business Development, Sales, or Consulting
• Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
• Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Preferred qualifications

• Experience interpreting data and making business recommendations
• Experience identifying, negotiating, and executing complex legal agreements

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

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