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Strong employer brand and GenAI visibility balanced by seniority and specialized skillset.
Requires financial-services experience and specialized GenAI/platform skills, limiting cross-industry transferability.
Explicit 10+ years requirement plus mandatory multi-stack, cloud, and AI platform skills raises filter strictness.
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Lead engineering and delivery of scalable end-to-end solutions focusing on Generative AI adoption and agentic application integration across enterprise operations.
Drive process efficiencies, automation, simplification, and risk reduction in large-scale technology platforms within Operations.
Collaborate cross-functionally to influence technical direction, promote engineering best practices, and facilitate adoption of emerging AI technologies and third-party solutions.
Minimum 10+ years professional experience in financial services, technology firms, or start-ups.
Strong engineering experience with large-scale distributed systems using Java and/or Python, plus UI development with React JS or StreamLit.
Proficiency in cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), infrastructure as code (Terraform, Helm), and integration technologies (Kafka, JMS/MQ).
Bachelor's degree in Computer Science, IT, or Engineering required; Master's degree preferred.
Experienced in Agile delivery, product management, and value stream methodologies within financial or technology domains.
Comfortable working in fast-paced environments prioritizing rapid, iterative delivery and technical problem-solving.
Technically versatile full stack engineer with strong foundation in generative AI frameworks and enterprise-wide systems integration.