Vice President (AI Solutions Architect)

Golub Capital; New York (NY); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Golub Capital seeks a Vice President, Applied AI Solutions to lead practical AI deployments across the firm. You will partner with business leaders to identify high-impact AI opportunities, translate business needs into scalable AI designs, and guide architecture from concept to production while aligning with security, governance and enterprise standards.

The role requires deep expertise in AI technologies, enterprise architecture and collaboration with cross-functional teams to accelerate AI

Competenze

• Bachelor's degree in computer science, engineering, information systems.

Mansioni

• Partner with AI Business Transformation team and stakeholders to identify prioritized opportunities and desired outcomes.
• Lead discovery and solution-design sessions and build stakeholder consensus.
• Translate business outcomes into practical AI solution concepts and target-state architectures.
• Produce architecture specifications, diagrams, and technical requirements for engineering teams.
• Lead engineering handoff and ensure production readiness and alignment with standards.
• Develop reusable AI patterns, reference architectures and accelerators.

Formazione

Bachelor's degree in computer science, engineering, information systems

Descrizione del lavoro

Position Information

Hiring Manager: Associate Director Department: Technology Solutions

Department Overview

The Technology Solutions ("TS") Department is responsible for designing and delivering state of the art technology solutions that create efficiency, mitigate risk and grow revenue for the Firm. Technology Solutions is also responsible for defining, managing and executing a robust Cyber Security program following the NIST Cyber Security Framework. Technology Solutions focuses on technical excellence through innovative application designs, robust data integration and analytics, high availability infrastructure and gold level service for our key stakeholders with information security embedded throughout. Critical functions within Technology Solutions include Project Management, Vendor Management, Business Analysis, Enterprise Data Governance and Stewardship, Application Development and 3rd Party Integration and Strategic and Secure Infrastructure and Operations. The Technology Solutions Department collaborates closely with Firm leadership and business unit heads to develop plans in line with business objectives.

Position Responsibilities

We are seeking a Vice President, Applied AI Solutions to serve as a leader and subject matter expert in the practical application of artificial intelligence across the Firm. Partnering closely with business leaders and the AI Business Transformation Team, this individual will identify and shape high-impact AI opportunities, translate business needs into scalable solution designs and provide architectural guidance from concept through implementation. Leveraging deep expertise in AI technologies, enterprise architecture, process design and the Firm's technology ecosystem, the successful candidate will help establish reusable patterns, standards and capabilities that accelerate AI adoption while ensuring solutions are aligned with business objectives, security requirements, operational standards and long-term outcomes.

Responsibilities include, but are not limited to:

• Partnering with the AI Business Transformation team and business stakeholders to understand prioritized opportunities, operating context, underlying problems, desired outcomes, process constraints and user needs.
• Leading discovery and solution-design sessions, challenging assumptions, reframing requirements around intended outcomes and building stakeholder consensus on the recommended approach.
• Translating business outcomes and future-state processes into practical AI solution concepts, target-state workflows and implementation-ready architectures.
• Maintaining a strong understanding of the Firm's technology landscape and determining the appropriate solution approach, including when to leverage existing enterprise capabilities, configure or extend approved platforms, build custom AI solutions or pursue non-AI alternatives.
• Designing secure, scalable AI and agentic architectures that integrate probabilistic AI with deterministic rules, workflows and controls, incorporating required models, data, grounding, enterprise context, tools, integrations, permissions, human oversight and observability.
• Evaluating solution feasibility and tradeoffs across business fit, user experience, data readiness, technical complexity, security, reliability, supportability, performance and cost; providing clear recommendations to business and technology stakeholders.
• Identifying high-risk or novel assumptions requiring prototypes, demonstrations or technical spikes; partnering with prototyping resources to validate them and directly develop targeted prototypes when appropriate.
• Producing architecture specifications, diagrams, decision records, interface definitions and technical requirements that enable engineering teams to build, test, deploy and support solutions.
• Leading engineering handoff and remaining engaged through implementation and production release to resolve design questions, incorporate technical findings and ensure solutions remain aligned with business outcomes, approved architecture and Firm standards.
• Identifying gaps in enterprise platforms and reusable capabilities and recommending standards-aligned services, integrations, controls and architecture patterns to support emerging use cases at scale.
• Developing and maintaining reusable AI patterns, reference architectures, design standards, accelerators, agent skills, harnesses and evaluation methods to improve the consistency, speed and quality of future solutions.
• Developing and applying evaluation criteria for AI model and system quality, safety, reliability, performance and cost to guide design decisions and production readiness.
• Staying current on advances in generative AI, agentic systems, models, platforms, open standards and architecture practices; translating relevant developments into practical guidance and recommendations for the Firm.

Candidate Requirements

Qualifications & Experience:

Bachelor's degree in computer science, engineering, information syst