# Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing Source: https://realanalystjobs.com/job/sr-genai-and-ml-specialist-solutions-architect-aspi-auto-and-manufacturing-amazo-cf609328 Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing at Amazon, an on-site role based in Detroit, Michigan, USA. Experience level: 8+ Years. Posted on 2 September 2026, read from Amazon's own careers page (Amazon), which RealAnalystJobs re-checks daily and removes the role when it closes. Amazon has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Amazon](https://realanalystjobs.com/companies/amazon) - Location: Detroit, Michigan, USA - Work mode: On-site - Posted: Sep 2, 2026 - Employment type: Full time - Experience level: 8+ Years - Source: Amazon's careers page (Amazon), re-checked daily Skills: AWS ## Visa sponsorship The posting does not say. Amazon had H-1B petitions approved for 12,010 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/amazon#h1b-record) ## About this role 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 Worldwide Specialist Organization (WWSO) within the Data & AI Specialists team for Automotive & Manufacturing 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. Core Responsibilities: - Collaborate with business development colleagues to provide technical input into go-to-market strategy and support field marketing through technical events, campaigns, and customer engagements - Lead complex technical problem solving to unblock customers’ most critical workloads - 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 About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 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 (gender 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. Basic qualifications - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 6+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred qualifications - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities 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, supervis Description from Amazon's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/sr-genai-and-ml-specialist-solutions-architect-aspi-auto-and-manufacturing-amazo-cf609328) and use Apply now there to reach the employer's application. The listing is re-checked against Amazon's careers page daily and removed when it closes. ## Amazon 583 open analyst roles on Real Analyst Jobs. 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