Seeking a hands-on Applied AI Engineering Leader, the full-time position will focus on accelerating AI adoption across Investment Management, addressing business challenges in areas such as investment research, portfolio analytics, and technology delivery, with flexibility for remote or hybrid work arrangements.
Key responsibilities
Scale AI solutions across business domains to ensure consistency and extensibility
Lead applied AI initiatives by partnering with various teams to identify practical use cases and translate business challenges into scalable solutions
Promote engineering scalability by driving the adoption of AI-enabled practices and reusable capabilities across technology teams
Required qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline
10+ years of experience in technology, data science, AI, or software engineering
5+ years of leadership experience managing technical teams or cross-functional initiatives
Strong understanding of Generative AI, Agentic AI, and modern software delivery practices
Proven ability to translate business problems into AI-enabled solution designs