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At Amazon Web Services (AWS), we are working to be the most customer-centric company on earth. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers, including the largest financial institutions in the world, are using AWS to lower costs, become more agile, and innovate faster. AWS is looking to hire and develop the next generation of leaders for our organization. We are seeking talented and enthusiastic students who are passionate about cloud technology, financial services, and helping large enterprises transform through innovation. As a Customer Solutions Manager (CSM) Intern on the Global Financial Services (GFS) team, you will gain exposure to how AWS partners with the world's largest financial institutions to drive cloud adoption at scale. Working alongside experienced CSMs, you will contribute to high-impact programs that shape how customers migrate workloads, modernize applications, and harness the power of generative AI and agentic AI to reimagine business processes. You will develop business acumen, build technical fluency in cloud computing, and learn how cross-functional teams at AWS collaborate to deliver results at scale. Your work will directly inform the strategies and deliverables that CSMs bring to executive-level customer engagements, at a time when financial services organizations are rapidly transforming their businesses in the age of Agentic AI.
Job Responsibility
Create solutions that address customer business problems and accelerate the adoption of AWS services
Interface with customer stakeholders, including developers, solutions architects, and team leads
Drive effective feedback gathering from customers, distill and translate feedback into clear business and technical requirements for product and engineering teams
Develop cloud adoption strategies, migration roadmaps, and business case frameworks that CSMs leverage in customer engagements
Research and evaluate generative AI and agentic AI use cases relevant to financial services and synthesize findings into actionable recommendations
Conduct analysis on financial services industry trends, competitive landscapes, and emerging cloud and AI adoption patterns to strengthen customer narratives
Build and refine executive briefing documents, program status reports, and adoption maturity assessments
Analyze customer cloud usage patterns and migration data to surface insights that drive decision-making
Contribute to internal tooling, playbooks, and best-practice frameworks that scale the impact of the CSM team, including leveraging AI/ML tools to improve team productivity
Partner cross-functionally with Solutions Architects, Account Managers, and Partner teams to synthesize inputs into cohesive plans
Complete the AWS Cloud Practitioner, AI Practitioner and Solutions Architect Associate Certification while also participating in technical training, mentorship, and professional development events
Complete a capstone project that delivers measurable impact to the GFS team or our customers' cloud journeys
Requirements
Currently enrolled in a bachelor's degree with a graduation conferral date between May 2027 and July 2027
Are enrolled in a academic program that is physically located in the United States
Are 18 years of age or older
Work 40 hours/week minimum and commit to 12 week internship
Experience in one or more technology domains, including but not limited to: Networking fundamentals, Databases (Relational and/or NoSQL), Operating Systems (Unix, Linux, and/or Windows), AI/ML
Experience with Gen AI, Large Language Models (LLMs), Machine Learning (ML), etc.
Nice to have
Bachelor's degree or above in computer science or other related discipline
Experience implementing a cloud-based technology solution in a school project or while working for a company
Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning
Experience in program and project management fundamentals
Knowledge of AWS or cloud computing
Excellent communication skills and ability to effectively articulate technical challenges and solutions to both large and small audiences
Demonstrated ability to quickly learn and apply new technologies