Gen Ai Tech Engineering Lead - Senior Vice President

• Contribute significantly to both engineering and research initiatives within the Generative AI domain
• Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
• Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
• Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy
• Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
• Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs)
• Drive the enterprise-wide adoption and successful integration of Generative AI solutions
• Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuously acquiring new skills
• Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders
• Be adaptable and resourceful in navigating complex technical and organizational challenges

• Deep hands-on experience in engineering and executing enterprise solutions that scale effectively
• Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript/Typescript and Golang is also highly valued
• Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms
• Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), Flask, LangChain, LangGraph, ADK, and MLFlow
• Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
• Experience with messaging and integration platforms like Kafka or JMS/MQ
• UI development skills with technologies such as React JS or StreamLit
• Experience designing and implementing REST and WebSocket APIs
• Familiarity with one of the major cloud platforms including AWS, GCP, or Azure
• Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm
• Experience with build and deployment (CI/CD) tools such as Jenkins and Gradle
• Good engineering experience with high-performance, large-scale AI/ML systems
• Experience in model risk management, guardrails development, and developing end-user adoption pathways for AI/GenAI solutions
• A minimum of 15+ years of professional experience in financial services, technology firms, or dynamic start-up environments
• Strong hands-on experience with Agile delivery, product management, and value stream methodologies
• Proven track record in producing high-quality project artifacts and senior management reports within technology or risk & controls domains
• Demonstrated ability to structure and lead product working groups, driving consensus on requirements and facilitating the development and implementation of processes, data, and system designs
• Motivated self-starter with the ability to quickly learn new skills and effectively navigate complex organizational structures
• Bachelor’s degree in Computer Science, Information Technology or Engineering is required
• Master's degree is preferred

Master's degree