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.
- 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
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- 6+ years of building
machine learning models or developing algorithms for business application experience
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.
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, CA, Santa Monica - 153,600.00 - 207,800.00
USD annually
USA, GA, Atlanta - 153,600.00 - 207,800.00
USD annually
USA, IL, Chicago - 153,600.00 - 207,800.00
USD annually
USA, MI, Detroit - 153,600.00 - 207,800.00
USD annually