Sr. GenAI & ML Specialist Solutions Architect

Amazon • New York, NY

4d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level