AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based system
Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
AI/ML/GenAI Specialist Solutions Architects combine technical skills in AI/ML/GenAI business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Key job responsibilities
The Principal SSA leads large-scale, strategic AI/ML initiatives spanning multiple business units and areas with complete independence, operating in environments of inherent complexity that require navigating technology uncertainty while incorporating market landscape to provide clear technical direction. They influence AI/ML strategy at the highest organizational levels, engaging with C-suite executives where their technical guidance directly influences perception of Amazon's AI capabilities, while providing solutions to significantly complex challenges such as enterprise-wide generative AI platforms with robust governance, cross-domain integration of data pipelines to agentic systems, large-scale MLOps frameworks, and industry-specific AI solutions addressing unique compliance requirements.
In this role you will:
-Leverage deep understanding of EMEA AI/ML requirements to influence AWS service teams and product roadmaps, while leading technical direction for key GenAIML/Agentic themes that require end to end cross-domain visibility from data pipelines to AI workflows.
-Establish gold standard deliverables that provide reference thought leadership for team members to accelerate growth.
-Scale technical community mechanisms across the region with cross-organizational interlock (including product teams).
-Establish standardized escalation processes that reduce resolution time for complex technical challenges including service/partnership rollout.
-Represent AWS through high-profile speaking engagements at major conferences, publish thought leadership content, and co-create partner solutions with key system integrators.
-Serve as critical escalation point for high-profile strategic accounts where senior-level coordination affects multiple business units.

About the team
SSAs are part of the Worldwide Specialist Organization (WWSO) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #One Team.

Basic Qualifications

• 12+ years design/implementation/consulting experience of distributed applications
• 7+ years management of technical, customer facing resources
• 7+ years of design/implementation of production AI/ML/GenAI/Agentic systems including integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps.
• Experience in C-level engagement

Preferred Qualifications

• Advanced degree (MS or PhD) in Machine Learning, Artificial Intelligence, Computer Science, or a related field
• 12+ years of Solutions Architecture (or equivalent) experience with deep expertise in machine learning, generative AI, MLOps, data for AI, and responsible AI principles,
• Proven ability to influence at C-level and anticipate future state of technology and service gaps
• Track record of driving transformational AI initiatives with programmatic scale mechanisms across multiple industries and geographies, and strong understanding of EMEA regulatory landscape and cloud-native architectures at scale.
• Able to effectively communicate across an increasing diversity of audiences internally and externally
• • Advanced degree (MS or PhD) in Machine Learning, Artificial Intelligence, Computer Science, or a related field
• -12+ years of Solutions Architecture experience with deep expertise in machine learning, generative AI, MLOps, data for AI, and responsible AI principles,
• -Proven ability to influence at C-level and anticipate future state of technology and service gaps
• -Track record of driving transformational AI initiatives with programmatic scale mechanisms across multiple industries and geographies, and strong understanding of EMEA regulatory landscape and cloud-native architectures at scale.

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