Sr. AI/ML Specialist Solutions Architect, GFS Specialist Solutions Architecture Team

Description Are you passionate about pioneering the future of generative AI and eager to help the world’s largest and most complex financial institutions solve real-world challenges using AI solutions? The ASPI - Global Financial Services (GFS) team seeks an experienced technologist who possess a unique balance of technical depth and strong interpersonal skills. As a trusted customer advocate and Generative AI Solutions Architect, you’ll partner with a focused portfolio of strategic banking, insurance, payments, and capital markets customers across North America to craft highly scalable AI architectures that address critical business problems and accelerate the adoption of AWS’s comprehensive AI stack.

This is not a high-volume role. You’ll go deep, not wide — building lasting technical relationships with a small number of the most significant financial services organizations in North America. You’ll join a specialized team of Solutions Architects dedicated exclusively to generative AI, working alongside account managers and account Solutions Architects to drive AI innovation across these strategic accounts. Our team’s focused expertise has made us a valuable resource for customers seeking guidance on advanced AI solutions. You’ll help organizations understand best practices and effectively implement generative AI capabilities within their existing cloud infrastructure — while navigating the stringent security, compliance, data sovereignty, and regulatory requirements unique to the financial services industry.

In this role, you will shape and execute strategies to build mind share and broad use of AWS’s AI services within financial services customers. The ability to connect AI technology with measurable business value is critical, as you’ll develop compelling demos and proof-of-concepts that demonstrate how generative AI can revolutionize business operations through intelligent automation and advanced reasoning capabilities. You’ll design architectures that enable AI systems to process complex queries, interact with enterprise data sources, and efficiently complete multistep tasks with agentic AI — from fraud detection and risk modeling to regulatory reporting, customer service automation, and personalized financial insights.

Key job responsibilities

• Serve as the trusted technical advisor for generative AI strategy across a small number of the largest, most complex Global Financial Services accounts in North America
• Develop strategic technical roadmaps and implementation plans for generative AI solutions that align with customers’ business objectives and existing architecture
• Design and implement generative AI architectures that orchestrate complex workflows across enterprise systems, leveraging AWS services like Amazon Bedrock, SageMaker, Kiro, and Amazon Quick
• Advise on agentic system architecture — RAG, tool-use patterns, memory and state management, multi-agent orchestration, and human-in-the-loop guardrails — with attention to auditability, explainability, and compliance
• Credibly advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term AI strategy, translating complex technical concepts into business language that demonstrates clear value and informs strategic decision-making
• Develop reference architectures and reusable assets that address financial services patterns — regulatory-compliant RAG, secure agent-to-data connectivity, and real-time decisioning
• Mentor team members and contribute to knowledge sharing within the organization to advance AI adoption and implementation best practices
• Lead thought leadership initiatives and externally represent AWS by evangelizing generative AI capabilities through public speaking at industry events (re:Invent and AWS Summits), publishing technical content (blogs, whitepapers, reference architectures), and sharing best practices with the broader AI/ML community
• Stay current with the latest advancements in generative AI research, AWS service and partner capabilities to improve system performance and recommend optimal technology stacks
• Define and implement evaluation frameworks for AI systems, including model performance benchmarking, output quality assessment, and operational monitoring (AIOps), ensuring deployed solutions meet enterprise reliability and governance standards

A day in the life

You’ll Join a Focused, High-calibre Group Of Specialist Solutions Architects Suppor…