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…