Sr. GenAI & ML Specialist Solutions Architect

Company: Amazon
Location: New York City
Posted on: April 3, 2026

Job Description:

Are you a customer-obsessed builder passionate about helping customers achieve their full potential? Do you have the business acumen and technical pre-sales expertise to help customers evaluate, design, and adopt AWS as their strategic platform for Generative AI and ML workloads? Do you enjoy building impactful AI solutions? Join the Data & AI Specialists team for Automotive & Manufacturing within the Worldwide Specialist Organization (WWSO) as a Senior Generative AI & ML Specialist Solutions Architect - a senior individual contributor role requiring deep technical expertise and executive-level customer engagement. The Worldwide Specialist Organization (WWSO) is part of the AWS Specialists and Partners organization, responsible for driving revenue and accelerating adoption of cloud and partner services across private and public sector customers. We work backwards from our customers’ most complex and business-critical challenges to develop and execute go-to-market plans that transform ideas into scalable, high-impact businesses. WWSO teams include business development specialists and technical solution architects. As part of WWSO, you will contribute across the full lifecycle of AWS customer initiatives—from shaping new service and solution concepts to accelerating adoption of established offerings. We pride ourselves on thinking big, delivering exceptional customer outcomes, and collaborating seamlessly across AWS as OneTeam. Key job responsibilities:In this role, you will translate customer business challenges into solutions leveraging AWS. You will define, design, and deploy targeted architectures that accelerate adoption of AWS Generative AI and ML services. You will engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise customers to influence architectural decisions and provide structured feedback to AWS product teams.AWS collaborates with a range of partners in the AI ecosystem—including leading third-party foundation model providers (e.g., Anthropic, Meta, Mistral, etc.). You will execute joint go-to-market motions with these partners and build proof-of-concepts for AI- and agent-enabled applications.As the ideal candidate, you bring a deep technical background and the business acumen required to lead complex engagements with large enterprises. You have hands-on expertise in traditional ML concepts as well as emerging areas such as LLMs, RAG, fine-tuning, AI system evaluation, prompt engineering, agents, and AIOps. You are able to credibly advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term strategy. Key job responsibilities - Provide comprehensive technical expertise in Generative AI and Machine Learning solutions - Design and validate cloud-based architectural strategies that align with customer business objectives - Represent the voice of the customer and collaborate with field and central teams to bring customer feedback to product teams - Act as a thought leader in Generative AI by sharing best practices through AWS blogs, whitepapers, reference architectures, code samples, and public speaking engagements such as AWS Summits and AWS re:Invent - Guide and support an internal AWS community of technical subject matter experts aligned to your customers, including the creation of field enablement materials for the broader Solution Architect population A day in the life Your day will be dynamic and impactful. You'll engage with business leaders, dive deep into technical architectures, and craft transformative AI strategies. You'll collaborate across teams, translating complex technological concepts into clear, actionable solutions that drive meaningful business outcomes. 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, 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 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 & 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. - 10 years of IT development or implementation/consulting in the software or Internet industries experience - Bachelor’s degree (Master’s or PhD preferred) in Computer Science, Engineering, Mathematics, Applied Statistics, Data Science, or related fields - Proven track record in conceptual development, solution design, and implementation of enterprise applications using data, ML, and AI - Experience in customer-facing roles such as pre-sales, consulting, or similar - Experience in adjacent technology domains such as database systems, big data, and analytics - AWS certifications strongly preferred (e.g., Solutions Architect, Machine Learning Engineer, Data Engineer) - Strong preference for experience in technical pre-sales or customer-facing architecture roles - Experience working with large enterprises in the Automotive and Manufacturing industries 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, NY, New York - 169,000.00 - 228,600.00 USD annually

Keywords: Amazon, Meriden , Sr. GenAI & ML Specialist Solutions Architect, IT / Software / Systems , New York City, Connecticut