Sr. Mgr, GenAI/ML Specialist Solutions Architects

Amazon Web Services, Inc.•3h ago

United StatesOnsiteFull-timeSenior Level5+ yrs exp

H-1B verified · 2310 LCAs

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Solutions ArchitectSolutions Engineer

Application deadline: Jun 24, 2026 AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology
unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you energized to create new markets for GenAI, Machine Learning
Deep Learning technologies? Do you love scaling new businesses? Amazon Web Services (AWS) is proud to be the pioneer and widely recognized leader in Cloud Computing. Our web services provide IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies in industries such as financial services, pharmaceuticals
high technology. AWS customers are looking for ways to change their business models and solve complex business challenges with GenAI in the cloud and AWS is leading the way in providing customers with a broad portfolio of GenAI/ML services. AWS is seeking a seasoned Solutions Architect leader to help us scale our GenAI/ML business in Auto/Mfg and Media & Entertainment segments. The AWS machine learning portfolio includes services, such as Quick, Kiro, Bedrock, AgentCore and SageMaker. While the GenAI/ML market is early in its maturity, most all customers are looking for ways to incorporate it into their business to improve customer engagement, optimize operations, manage risk
glean more insights from their data. The NAMER Specialist Organization is seeking an accomplished Solutions Architect leader deeply familiar with GenAI/ML services, who has overachieved throughout their career and built strong, deep relationships with F1000 and/or G2000 organizations. This leader will partner with Sales and Product teams to build a strategy focused on winning new customers and growing existing customers for the long term. The right candidate must possess top of the line leadership skills with the ability to execute on key business initiatives. This is an exciting opportunity to own the technical strategy definition and execution of AWS’s strategy for GenAI/ML Services in Auto/Mfg and M&E. Your responsibilities will include defining strategic workloads to drive the necessary technical relationships with customers and partners. It will also require technical depth to help the Sales field prioritize GenAIML for their customers. You will build a high-performing team of deeply technical Solution Architects. As the voice of the customer, you'll work closely with product and other GenAI/ML teams to help them evolve the products and address issues, concerns
requests from customers. To be successful, you will need to analyze and determine key customer insights from business drivers, customer feedback
operating metrics. 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 description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path
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 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
passionate voices our teams bring to everything we do. 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
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.
5+ years of management of technical, enterprise customer facing resources or equivalent experience - 5+ years of infrastructure architecture, database architecture and networking experience - Bachelor's degree - Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
Experience architecting, migrating, transforming or modernizing customer requirements to the cloud 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, AZ, TEMPE - 201,000.00 - 272,000.00 USD annually USA, CA, San Francisco - 231,200.00 - 312,800.00 USD annually USA, CA, Santa Monica - 201,000.00 - 272,000.00 USD annually USA, CO, Denver - 201,000.00 - 272,000.00 USD annually USA, IL, Chicago - 201,000.00 - 272,000.00 USD annually USA, OR, Portland - 201,000.00 - 272,000.00 USD annually USA, TX, AUSTIN - 201,000.00 - 272,000.00 USD annually USA, TX, Dallas - 201,000.00 - 272,000.00 USD annually USA, WA, Seattle - 201,000.00 - 272,000.00 USD annually

Required skills

GenAIMachine LearningDeep LearningAWSDataAIAnalyticsDatabaseCloud Computing