Senior GenAI Engineering - Director

• Drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across Finance / Controllers
• Collaborate with various technology teams to push the adoption of Generative AI technologies and agentic flows throughout Financial Controller's applications and processes
• 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
• Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
• Drive 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
• Appropriately assess risk when business decisions are made, demonstrating sound ethical judgment and particular consideration for the firm's reputation, its clients and assets

• Strong understanding and hands-on experience in Language Models (LLMs), agentic frameworks, vector stores, and search algorithms
• Experience in building AI Agent workflows using an AI orchestration platform such as LangGraph, Crew AI, Autogen or ADK
• 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
• Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, LangChain, LangGraph, ADK, and MLFlow
• Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
• 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
• Experience in model risk management, guardrails development, and developing end-user adoption pathways for AI/GenAI solutions
• Team building, people management, and mentoring skills
• 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/University degree or equivalent experience

Master’s degree preferred

• Discretionary and formulaic incentive and retention awards
• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays