Sr. AIML Specialist Solutions Architect, GFS Specialist Solutions Architecture Team
New York City, NY - USA
Job Summary
This is not a high-volume role. Youll go deep not wide building lasting technical relationships with a small number of the most significant financial services organizations in North America. Youll 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 teams focused expertise has made us a valuable resource for customers seeking guidance on advanced AI solutions. Youll 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 AWSs AI services within financial services customers. The ability to connect AI technology with measurable business value is critical as youll develop compelling demos and proof-of-concepts that demonstrate how generative AI can revolutionize business operations through intelligent automation and advanced reasoning capabilities. Youll 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
Youll join a focused high-calibre group of specialist Solutions Architects supporting the worlds most important financial services customers. The team operates on deeply technical strategically significant engagements solving problems that dont have off-the-shelf answers. Day-to-day youll:
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.
- 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
- 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
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 for more information. If the country/region youre applying in isnt 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 NJ Jersey City - 169000.00 - 228600.00 USD annually
USA NY New York - 169000.00 - 228600.00 USD annually
USA TX Dallas - 153600.00 - 207800.00 USD annually
Required Experience:
Senior IC
About Company
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