Do you enjoy solving customers' most complex technical problems using the latest cloud technologies, including GenAI and agentic AI? Do you have a knack for helping financial institutions modernize their infrastructure and applications within a highly regulated environment, while leading transformational projects to success?

The AWS Global Sales (AGS) team interacts with leading companies and believes that world-class technical partnership is critical to customer success. This is an on-site position requiring regular presence at AWS offices and customer locations to deliver hands-on technical engagement and build trusted relationships. Within Financial Services, our customers build mission-critical, highly available applications on AWS, and rely on us to guide them through their most complex transformations.

As a Senior Solutions Architect, you will own the technical engagement and success of strategic projects across the Financial Services Industry — banking, insurance, and capital markets/securities — with a strong focus on:

Data & Analytics: Building modern data platforms and analytics that power regulatory reporting, risk management, and business insight
GenAI & Agentic AI: Driving outcomes with generative AI and intelligent automation for use cases such as fraud detection, risk modeling, and customer engagement
Legacy & Mainframe Modernization: Leading datacenter exits, VMware migrations, and modernization of legacy mainframe and core-banking systems
Security, Resilience & Compliance: Strengthening security posture, meeting regulatory and data-sovereignty requirements, and architecting for high availability
As a senior technical leader, you will represent AWS within customer environments, guide developers, architects, and C-level executives on digital transformation, and mentor peers across the Solutions Architecture community.

Key job responsibilities
As a Senior Solutions Architect supporting Financial Services customers, you will:

Own strategic technical engagements end-to-end — from discovery and solution design through to implementation and production success — for banking, insurance, and capital markets/securities customers.
Lead executive and architectural discussions, partnering with customers' senior technical leaders and C-level executives to shape cloud and digital transformation strategies.
Drive GenAI and agentic AI adoption, identifying high-value use cases (e.g. fraud detection, risk modeling, customer engagement, document processing) and guiding customers from proof-of-concept to production.
Guide data and analytics modernization, helping customers build modern data platforms that power regulatory reporting, risk management, and business insight.
Lead legacy and mainframe modernization, defining datacenter exit strategies, VMware migrations, and the modernization of core-banking and mainframe systems toward cloud-native architectures.
Architect for security, resilience, and compliance, ensuring solutions meet the stringent regulatory, data-sovereignty, and availability requirements of the financial sector.
Act as the customer's trusted technical advisor, capturing and communicating technical requirements, and translating business goals into scalable AWS architectures.
Influence AWS product direction by channeling customer feedback to service teams, and contribute to reusable technical assets, best practices, and reference architectures.
Mentor and uplift peers, sharing expertise across the Solutions Architecture community and helping raise the technical bar of the wider team.

A day in the life
No two days look the same as a Senior Solutions Architect in Financial Services. On any given day, you might:

Lead a whiteboarding session with a bank's architecture team to design a secure, resilient cloud landing zone that meets regulatory requirements.
Partner with an insurer's data leaders to shape a modern data platform strategy for risk and regulatory reporting.
Run a GenAI workshop with a capital markets customer to identify and prioritize high-value use cases such as fraud detection or document processing.
Advise on a mainframe or core-banking modernization roadmap, helping the customer sequence their migration with minimal risk.
Brief C-level executives on how AWS can accelerate their digital transformation and business outcomes.
Collaborate with Account Managers, Specialist SAs, and Partners to move strategic opportunities forward.
Share a reusable reference architecture or best practice with the wider Solutions Architecture community, and mentor a peer along the way.
You will balance deep, hands-on technical work with senior stakeholder engagement — always anchored on helping our Financial Services customers succeed.

About the team
You'll join AWS Global Sales (AGS) on a Solutions Architecture team dedicated to Financial Services — banking, insurance, and capital markets/securities. We partner with Account Managers, Specialist SAs, and Partners to guide customers through their most complex, highly regulated transformations. We're a collaborative, customer-obsessed team that values technical excellence, continuous learning, and mentorship.

AWS values diverse experiences — if your career hasn't followed a traditional path, we still encourage you to apply. We also value work-life harmony, and offer endless knowledge-sharing and mentorship to help you grow.

Basic qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 6+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
• Experience working with Core Cloud Technology Services, including, but not limited to Compute, Edge, Hybrid, Security, and/or Networking
• 8+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent

Preferred qualifications

• Experience in the financial services industry
• Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations
• Depth in one or more strategic domains: data & analytics (modern data platforms, real-time analytics, governance) or AI/ML and GenAI (including agentic AI use cases such as fraud detection, risk modeling, or document processing).
• Hands-on experience with containerization and serverless architectures, and designing for high availability, resilience, and disaster recovery.

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