Feb 2026 – Present · 3 mos · On-site

Feb 2025 – Jan 2026 · 11 mos · On-site

• Sudheer is a Lead AI and Cloud Expert who drives innovation in developing and deploying cutting-edge AI and cloud-based solutions. His role combines AI research and development with cloud architecture expertise, enabling significant contributions to technological advancement and strategic business initiatives. He spearheads Generative AI solutions using RAG and agentic architectures, enhancing intelligent solution products and boosting productivity.
• As the lead engineer and design authority for Amazon QuickSight enablement within JPMC, Sudheer oversees AWS service architecture using Terraform, managing event-driven architectures across 11 business lines. He leads QSphere development, a comprehensive QuickSight ecosystem, which includes creating a self-service automation portal and integrating environment-as-code practices.
• Sudheer develops frameworks facilitating AI adoption among engineers, designing educational programs and best practice guidelines while fostering innovation. He leads initiatives to integrate multiple SaaS generative AI platforms for business intelligence, data visualization, and transformation services. His responsibilities include evaluating tools, designing integration strategies, and ensuring seamless deployment.
• Managing the entire lifecycle of cloud solutions, Sudheer serves as COE, providing technical guidance and ensuring best practices implementation. He leads cross-functional teams, engages with users to understand requirements, and mentors junior engineers. His expertise extends to implementing automated testing frameworks, DevOps practices, and continuous integration pipelines, significantly improving deployment efficiency and system reliability. His role combines development, research, leadership, and user engagement, focusing on delivering impactful solutions that align with organizational goals and enhance business operations.

Feb 2024 – Jan 2025 · 11 mos · On-site

• As a Cloud Engineer, Architect, and Engineering Lead, I have played a pivotal role in driving the adoption of AWS QuickSight at JPMorgan Chase. I spearheaded the integration of QuickSight as a federated deployment across 10+ lines of business and 100s of instances, ensuring its streamlined use with robust controls and governance.
• I also designed and architected scalable SaaS platforms, solving complex enterprise architecture and identity challenges. My work involved everything from inception to execution, including network architecture, IAM patterns, and creating reusable frameworks for the entire firm.
• In addition to my technical leadership, I have led teams directly, guiding product engineering and managing key initiatives that align with business objectives

Feb 2023 – Jan 2024 · 11 mos · On-site

• As a Cloud Engineer specializing in Engineering of Enterprise BI & Data Wrangling Tools at JPMC, I excelled in the following areas:
• Cloud Infrastructure Design & Build: Designed and built robust cloud infrastructure to support a wide range of Business Intelligence tools. Leveraged my expertise in AWS, Python, and BI & Data Wrangling tools to ensure efficient and scalable solutions.
• Amazon QuickSight Enablement: Developed controlled Terraform modules to enable Amazon QuickSight, catering to the Business Intelligence needs of diverse business lines within JPMC. Empowered users with seamless access to AWS QuickSight.
• SaaS BI Products Architecting & Provisioning: Architected and provisioned cutting-edge SaaS BI & Data Wrangling products, catering to the needs of over 250K internal and external users at JPMC. These SaaS products include Tableau Online, ThoughtSpot, Qlik Cloud, and Alteryx SaaS.
• Risk Assessment & Mitigation: Evaluated network and infrastructure risks associated with SaaS BI applications, conducting comprehensive assessments. Focused on critical areas such as architecture, authentication and authorization, data security at rest and in transit, connectivity, and integration patterns.
• Cloud Data Source Integration: Collaborated with cross-functional teams to develop solutions for connecting BI & Data Wrangling tools to cloud data sources such as AWS Redshift, AWS Athena, AWS S3, Snowflake, Databricks, and Starburst. Facilitated seamless data flow and optimized performance.
• By combining my technical acumen with a deep understanding of enterprise BI & Data Wrangling engineering needs, I consistently delivered innovative and reliable solutions that empowered teams to harness the power of data.

Aug 2020 – Jan 2023 · 2 yrs 5 mos · On-site

• Infrastructure Engineer with a proven track record of achievements:
• ✅ Successfully built and deployed infrastructure in JPMC Data centers, supporting a diverse set of Business Intelligence and Data Wrangling Tools.
• ✅ Developed and delivered over 20 microservices that streamlined software installation, configuration, and maintenance through automation.
• ✅ Designed and implemented various asynchronous automated solutions, empowering business users with self-service capabilities.
• ✅ Led the design, development, testing, and deployment of a patent-pending simplified solution for deploying microservice workflows. This groundbreaking approach utilizes parameter-driven, state-maintained executions.
• ✅ Created automated solutions for contract-based testing of desktop applications, enhancing testing efficiency and effectiveness, resulting in a filed patent application with the India Patent Office.
• Beyond my core responsibilities, I actively engaged in advanced programs, driving innovation by developing AI/ML solutions and event-driven mobile applications on AWS.