Senior Vice President, Ai Engineering

Job DetailExperience Level DirectorDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000021060Salary Type AnnuallyIndustry Hedge FundSelling Points Lead impactful AI initiatives in financial services, driving innovation and efficiency. Collaborate with investment teams to develop cutting-edge AI solutions. Manage and grow a high-performing engineering team.Job DescriptionSenior Vice President, AI Engineering OverviewLead AI engineering initiatives for a financial services firm, focusing on private credit investment strategies and innovative AI solutions.Design and deliver production AI systems that enhance sourcing, underwriting, monitoring, and reporting processes for private credit investments.Collaborate with investment, risk, and operations teams to develop AI-driven solutions addressing portfolio analytics and financial workflows.Drive enterprise AI initiatives, ensuring robust project management and stakeholder alignment with investment strategies.Lead and develop a team of AI engineers, fostering a high-performance engineering culture and delivering impactful results.Stay hands-on with coding, debugging, and designing scalable systems, ensuring continuous improvement and innovation.Evaluate emerging AI technologies and integrate them into the firm's ecosystem to enhance operational efficiency.Utilize modern LLM frameworks, cloud platforms, and advanced development approaches to build scalable AI systems.Contribute to the firm's AI strategy by integrating vendor platforms and APIs to unlock new use cases.Senior Vice President, AI Engineering Key Responsibilities & DutiesLead a team of AI engineers, ensuring high performance and effective collaboration across projects.Architect and build production AI systems and data pipelines using Python and modern LLM frameworks.Design scalable systems with advanced tooling, automation, and AI-assisted workflows to meet business needs.Collaborate with investment teams to transform credit and portfolio analytics challenges into deployed AI solutions.Oversee the full lifecycle of AI systems, including data ingestion, evaluation, deployment, and monitoring.Ensure robust model governance and scalable cloud infrastructure for enterprise AI initiatives.Evaluate and integrate emerging AI technologies to enhance the firm's operational capabilities.Maintain hands-on involvement in coding, reviewing pull requests, and debugging complex problems.Develop AI systems that align with the firm's investment goals and deliver measurable business impact.Senior Vice President, AI Engineering Job RequirementsBachelor of Science (BS) degree in a relevant field is required.Minimum 13 years of software engineering experience, including 2–3 years in AI development.Proven leadership experience managing engineering teams of 6–10 members effectively.Strong expertise in Python and experience with production AI systems at scale.Knowledge of OpenAI/Anthropic APIs, agent development, and modern LLM frameworks.Substantial financial services experience, preferably in asset management or banking.Proficiency in cloud platforms like Azure and modern data architecture.Preferred experience in private credit or credit-focused investing.Familiarity with portfolio analytics, financial datasets, and investment workflows is advantageous.