VP AI Engineer Location: Boston, MA (Hybrid) We are partnering with a leading investment organization seeking a VP AI Engineer to help drive the adoption of advanced artificial intelligence capabilities across research, analytics, and investment workflows. This is a senior, hands-on position for an experienced engineering leader who combines deep software development expertise with practical experience building AI-powered solutions. The successful candidate will collaborate closely with investment professionals to develop intelligent applications, automation frameworks, and scalable AI platforms that enhance decision-making, improve efficiency, and unlock new insights. The role offers the opportunity to shape the firm's AI strategy while delivering production-grade solutions that create measurable business impact. Key Responsibilities • Design, develop, and deploy production-ready AI solutions that support investment and research activities. • Build intelligent applications leveraging large language models (LLMs), generative AI technologies, and workflow automation capabilities. • Create scalable AI frameworks, reusable services, and common components that can be utilized across multiple teams and business functions. • Partner closely with investment professionals to identify opportunities for productivity improvements, workflow enhancements, and automation. • Translate complex business requirements into well-defined technical specifications and deliverable solutions. • Lead the development of secure, robust, and maintainable AI-driven applications. • Establish engineering best practices for AI development, testing, deployment, monitoring, and governance. • Drive the adoption of AI tools through user-focused design and continuous stakeholder engagement. • Evaluate emerging technologies and determine their practical application within investment and research environments. • Implement controls related to security, data access, model governance, operational risk, and system performance. • Measure solution effectiveness using adoption metrics, business outcomes, and operational improvements. • Contribute to the firm's broader technology strategy and AI roadmap. Required Qualifications • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; equivalent practical experience will be considered. • 7+ years of experience designing, building, and supporting enterprise-grade software applications. • Proven track record developing and deploying AI-powered solutions within production environments. • Experience working with large language models, generative AI technologies, intelligent automation, or advanced machine learning applications. • Strong software engineering background with expertise in Python and modern application development practices. • Experience building cloud-native solutions, preferably within AWS environments. • Solid understanding of distributed systems, APIs, microservices, and scalable software architecture. • Strong knowledge of software development best practices including testing, version control, CI/CD, and observability. • Demonstrated ability to work directly with business stakeholders and translate complex requirements into practical technical solutions. • Excellent problem-solving, communication, and collaboration skills. • Strong judgment in balancing business value, technical quality, speed of delivery, and operational risk. Preferred Qualifications • Experience within investment management, asset management, hedge funds, capital markets, or financial services. • Familiarity with investment research processes, portfolio analytics, or data-driven decision-making environments. • Experience with AI orchestration tools, retrieval-augmented generation (RAG), vector databases, and agent-based architectures. • Track record of leading cross-functional technology initiatives from concept through production deployment. • Knowledge of AI governance, model risk management, and responsible AI principles. • Strong product mindset with a focus on delivering practical, business-oriented solutions.