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Tier-1 brand, metro location, and broad fullstack+GenAI requirements increase candidate competition.
Prefers financial-services experience but technical fullstack and GenAI skills are transferable across industries.
Mandatory 10+ years plus specific languages, cloud, infra, and GenAI skills makes shortlisting highly strict.
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Own engineering and delivery of scalable, robust end-to-end solutions that integrate Generative AI (Gen AI) across enterprise business processes and applications.
Lead adoption of Generative AI technologies and agentic flows enterprise-wide, including partnerships with third-party providers to validate and integrate best-of-breed solutions.
Drive product-focused development emphasizing rapid iterative delivery, engineering best practices, and simplification in a fast-paced environment.
Minimum 10+ years professional experience in financial services, technology firms, or dynamic start-ups.
Proficient in Java and/or Python with experience in UI technologies such as React JS or StreamLit.
Strong experience with large-scale distributed systems, REST/WebSocket APIs, messaging platforms (Kafka or JMS/MQ), cloud environments (AWS, GCP, or Azure), infrastructure tools (Docker, Kubernetes, Terraform, Helm), and CI/CD pipelines (Jenkins, Gradle).
Bachelor's degree in Computer Science, Information Technology, or Engineering required; Master's degree preferred.
Experienced technology leader capable of driving enterprise-scale Gen AI adoption and integration within complex organizational and technical environments.
Strong product and delivery orientation with a focus on rapid iteration, lean methodologies, and removing bureaucratic obstacles to engineering success.
Demonstrated ability to collaborate cross-functionally, communicate effectively with diverse stakeholders, and quickly assimilate new technical skills in emerging AI domains.