VP, AI Innovation

About ATLAS SP Partners ATLAS SP Partners is a global investment firm providing stable funding, financing, advisory and institutional products to market participants seeking innovative and bespoke structured credit and asset-backed solutions. Our experienced team works closely with clients to determine optimal approaches for capital optimization and goal achievement, leveraging a holistic suite of integrated capabilities - including asset and portfolio advisory, warehouse and acquisition financing, whole loan purchase and sale, and securitization and distribution. ATLAS is proud to build upon a legacy of client excellence, distinguished by certainty of execution, deep expertise, and comprehensive service across the asset management landscape. Our Culture ATLAS operates as "one team" where every individual makes an impact. We grow together, win together, and embrace change as a unified organization. Our commitment extends beyond advancing markets, and we strive to make a meaningful difference in our communities and for our clients. Our people are industry leaders, driven by a passion for client service, complex problem solving, and innovation. We foster professional and personal growth in a collaborative, inclusive environment, and are proud to build upon a legacy of excellence anchored in deep expertise and client service across the asset management landscape. The VP, AI Solutions will serve as ATLAS's forward deployed engineer (FDE) to the firm's business desks - CRE, Residential, Auto/Equipment, Transportation, Energy, Infrastructure, Fund Finance, and others - partnering directly with desk and operations leads to understand how deals get done today and where AI can meaningfully improve the work. This is not a role focused on replicating existing processes step-for-step in an AI wrapper; it is a role focused on questioning and redesigning workflows so that AI is embedded where it adds the most value. Financial services experience is essential, along with the judgment to know when a process should be redesigned rather than merely automated, and the communication skills to bring skeptical desk stakeholders along. This position is based in New York. Primary Responsibilities Desk Engagement & Discovery Embed directly with business desks CRE, Residential, Auto/Equipment, Transportation, Energy, Infrastructure, Risk, Treasury, Accounting and others to learn existing workflows, tools, and pain points firsthand. Run structured discovery sessions with desk and operations leads to surface high-friction, high-volume, or error-prone processes suited to AI-enabled redesign. Distinguish opportunities for genuine workflow and process redesign from requests to simply automate an existing manual step. Partner with desk leads to prioritize opportunities based on business impact, feasibility, and readiness for change. Solution Design & Prototyping Design and build working prototypes and proof-of-concepts directly with desk teams, iterating quickly based on real feedback and usage. Apply a forward deployed engineering approach: sit with the business, build fast, and validate against real deal work rather than hypothetical requirements. Guide desk and ops leads in authoring their own reusable skills and workflows, consistent with the principle that desks own the domain content. Ensure prototypes meet baseline security, data-handling, and governance expectations before they reach production consideration. Workflow & Process Redesign Map current state processes end-to-end and identify where AI should change the shape of the workflow, not just the tool used to execute it. Partner with desk leadership to redesign processes around AI-native capabilities, rather than treating AI as a 1:1 replacement for existing manual steps. Recommend where roles, handoffs, and controls should shift as a result of redesigned workflows, and flag clearly where redesign is not the right answer. Deployment & Adoption Transition validated prototypes into governed, production-ready solutions in partnership with the Director, AI Innovation and technology, security, and platform teams. Drive change management and training with desk teams to ensure adoption, understanding of capabilities and limits, and sustained usage. Monitor deployed solutions for performance, drift, and usage, feeding learnings back into the firm's AI governance program. Skills Catalog & Enterprise #J-18808-Ljbffr PVH (Tommy Hilfiger/Calvin Klein)