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Tier-1 brand, metro location, and popular AI-generalist elements increase applicant density.
Machine-learning and automation skills transferable, but financial/regulatory experience preferred increases specificity.
Explicit 8+ years and multiple mandatory technical skills and certifications increase screening rigidity.
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Lead design, development, and delivery of enterprise AI, Agentic AI, Generative AI, and Intelligent Automation solutions to enhance productivity and drive measurable business value.
Own solution architecture, integration patterns, and engineering standards for AI-enabled applications, including LLM integration and intelligent automation platforms like UiPath.
Drive technology adoption by leading POCs, architecture reviews, troubleshooting complex challenges, and collaborating with cross-functional teams to ensure secure, resilient, and compliant solutions.
8+ years of experience in software engineering, application development, solution architecture, or enterprise technology delivery.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Proficient in Java and/or Python with expertise in Spring Boot, REST APIs, microservices, and cloud-native development on AWS (Lambda, ECS/Fargate, API Gateway, DynamoDB, S3, IAM, CloudFormation).
Experience with Agentic AI, Generative AI, LLM integration, prompt engineering, UiPath platform (Orchestrator, AI Center, Document Understanding, Process Mining, Automation Cloud), and enterprise application integration.
Experienced technical leader in AI, Agentic AI or Generative AI solution architecture with hands-on development and integration expertise in enterprise environments.
Strong background in cloud-native application development and automation platforms, especially within AWS and UiPath ecosystems.
Proven ability to lead cross-functional teams and deliver scalable, secure, and innovative AI-enabled business technology solutions in regulated or financial services contexts.