Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing, ASPI AutoMfg

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 Architecta 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 initiativesfrom 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 ecosystemincluding 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
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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
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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 theres nothing we cant achieve.

- 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
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- Bachelors degree

- 5 years of infrastructure architecture database architecture and networking experience
- Experience working with end user or developer communities
- 2 years of building models for business application experience
- Experience with Bedrock LLMs AgentCore Kiro Quick and Other AWS GenAI tools.

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 for more information. If the country/region youre applying in isnt 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 MI Detroit - 153600.00 - 207800.00 USD annually