Vice President, Agentic AI Engineering

Vice President, Agentic AI Engineering

About the Company

Expanding provider of investment management, research & trading services

Industry
Financial Services

Type
Public Company

Founded
1792

Employees
10,001+

Categories

• Financial Services
• Investment Management
• Consulting & Professional Services
• B2B
• Asset Management
• Boston
• Finance
• Insurance
• Publicly Traded
• Angel Investment
• Banking

Specialties

• investment management
• custodian
• etf
• financial products
• fund accounting
• relationship management
• research
• trading
• and investment servicing

Business Classifications

• B2B

About the Role

The Company is seeking a Vice President for Agentic AI Engineering to lead the strategic and architectural development of its enterprise agentic AI platform. This senior leadership role is pivotal in setting the vision for multi-agent orchestration, security, and governance, with a strong focus on multi-cloud scalability and resilience. The successful candidate will be responsible for influencing technology direction, leading engineering talent, and fostering innovation in agentic AI across various cloud environments. Key responsibilities include owning the platform strategy, driving innovation in multi-agent orchestration, and ensuring organizational standards for reliability, scalability, and security are met. The role also involves representing the Agent Foundry and Runtime pods in executive governance forums and driving platform-wide initiatives for reliability, scalability, and cost optimization. Applicants for this role at the company should have a Bachelor's or Master's degree in computer science, engineering, or a related field, with advanced degrees being a plus. A minimum of 12-17 years' of relevant experience, including leadership of large-scale, multi-agent or AI-driven platforms, is required. The ideal candidate will be proficient in Python and familiar with at least one additional modern programming language, and have a proven track record in strategic ownership of platform architecture and technology roadmaps. Extensive hands-on and leadership experience in multi-cloud environments, particularly with a focus on security, governance, and cost optimization, is essential. The role demands expertise in compliance, risk management, and performance oversight for enterprise AI solutions, as well as exceptional communication, governance, and stakeholder management skills.

Functions

• Engineering