Senior Specialist Solutions Architect - Agentic AI, AGS Specialist Solutions Architects
About The Position
This role is for a Senior Generative AI & ML Specialist Solutions Architect within the AGS Specialist organization, part of the customer-facing NAMER sales organization. The role focuses on driving revenue and accelerating the adoption of cloud and partner services, particularly for Generative AI and ML workloads on AWS. The individual will work with customers to address complex business challenges, develop go-to-market plans, and transform ideas into scalable businesses. Responsibilities include contributing across the full lifecycle of AWS customer initiatives, from shaping new service concepts to accelerating adoption of established offerings. The team prides itself on thinking big, delivering exceptional customer outcomes, and collaborating seamlessly as #OneTeam.
Requirements
- 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
- Experience in a technical role within a sales organization
- Deep technical background and the business acumen required to lead complex engagements with large enterprises.
- Hands-on expertise in traditional ML concepts as well as current areas such as LLMs, RAG, fine-tuning, AI system evaluation, prompt engineering, agents, and AIOps.
- Ability to credibly advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term strategy.
Nice To Haves
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working with end user or developer communities
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS
Responsibilities
- Translate customer business challenges into solutions leveraging AWS.
- Define, design, and deploy targeted architectures that accelerate adoption of AWS Generative AI and ML services.
- 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.
- Build proof-of-concepts for AI- and agent-enabled applications, and provide feedback directly to service teams.
- Work with customers’ development and data science teams to deeply understand their business and technical needs, and design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon AgentCore, Amazon Rekognition, Amazon Transcribe, Amazon Quick, Amazon Personalize, and other AI/ML services.
- Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.
- Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- Act as a technical liaison between customers and the Amazon Bedrock or other service teams to provide customer driven product improvement feedback.
- Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS.
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
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
