Gen AI Engineer - Vice President

Lead engineering and delivery of scalable, end-to-end enterprise solutions focused on Generative AI integration and automation to improve operational efficiencies.

Drive adoption of Generative AI technologies and agentic flows across enterprise-wide applications in collaboration with technology teams and external partners.

Develop foundational AI and Large Language Model (LLM) capabilities while promoting engineering best practices and iterative product development.

Minimum 10+ years professional experience in financial services, technology firms, or startups involving scalable system design and Agile delivery.

Proficient in Java and/or Python; UI development using React JS or StreamLit; REST or WebSocket API design and implementation.

Experience with large-scale distributed systems, databases (Oracle, Postgres, MongoDB), messaging platforms (Kafka or JMS/MQ), and cloud platforms (AWS, GCP, or Azure).

Bachelor's degree in Computer Science, IT, or Engineering required; Master's degree preferred.

Experienced full stack engineer with a strong background in large-scale, high-performance distributed systems and AI technologies including Generative AI and LLMs.

Comfortable working in fast-paced, iterative product environments emphasizing Agile methodologies, lean processes, and rapid delivery.

Capable of collaborating across teams and with third-party technology providers to implement innovative AI-driven operational solutions.