From Amazon's posting. “We” and “our” refer to the employer.
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 supporting the world's most important financial services customers. The team operates on deeply technical, strategically significant engagements — solving problems that don't have off-the-shelf answers. Day-to-day, you'll:
Review customer requirements and technical challenges, focusing on opportunities to implement generative AI solutions that can transform business outcomes
Develop proof-of-concepts that demonstrate how generative AI solutions can transform business processes
Review retrieval, grounding, and agentic orchestration architectures, advising on governance models that satisfy regulators while enabling AI innovation
Influence service team leadership and product marketing on the future needs for customers, prioritizing roadmap features and GTM messaging
Dedicate time to continuous learning about the latest advancements in AI research and AWS service capabilities
Participate in knowledge sharing activities with colleagues, creating field enablement materials to help other SAs understand how to integrate generative AI solutions into customer architectures
About the team
The GFS Specialist Solutions Architect team is dedicated to accelerating generative AI adoption across strategic financial services accounts — including banking, insurance, payments, and capital markets — in North America. Our mission is to drive tangible business value through focused execution on strategic generative AI projects, while enabling scale by up-skilling broader field teams. We value depth, intellectual curiosity, and a genuine desire to help customers succeed.
We work at the intersection of frontier AI and industry-specific transformation, partnering closely with account teams, technology specialists, and industry specialist teams to deliver comprehensive solutions that meet the rigorous security and compliance standards of the financial services sector.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 in the cloud.
Basic Qualifications
6+ years of IT development or implementation/consulting in the software or Internet industries experience
Experience architecting/operating solutions built on AWS
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
Experience in design, implementation, or consulting in applications and infrastructures
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Experience in IT development or implementation/consulting with Financial Services organizations
Preferred Qualifications
Experience designing, developing, and optimizing prompts and templates that guide LLM behavior
Experience with AI system evaluation methodologies, including LLM evaluation frameworks, automated testing pipelines, and AIOps practices for monitoring and operating AI workloads at scale
Experience advising on agentic system design — RAG, tool-use, multi-agent orchestration, and human-in-the-loop guardrails — with attention to auditability, explainability, and compliance
Experience with financial services workloads such as fraud detection, risk modeling, regulatory compliance, or algorithmic trading
Experience with building AI applications powered by language models with frameworks like LangChain, Strands, or others
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
