About the role
Turing is building the next generation of enterprise AI, and this role sits at the center of that mission. As Head of Applied AI Lab for our BFS vertical, you will define how some of the world’s largest financial institutions harness emerging technologies to reimagine their operations, products, and workforce productivity.
This is a deeply technical leadership role that operates at both the strategic and hands-on execution levels. You will partner closely with the Head of AI Business to define the technical vision for how AI systems can create enduring enterprise value, while leading teams through the complexity of translating that vision into scalable, real-world applications.
The role demands the credibility to engage senior executives as a trusted advisor, the technical depth to drive architectural and platform decisions, and the leadership capability to build and scale high-performing teams working at the frontier of applied AI.
You will thrive in this role if you are a hands-on AI technologist with a strong, opinionated perspective on the future of enterprise AI applications. You are comfortable operating in ambiguity, influencing high-stakes client environments, and building organizations that balance velocity with engineering rigor.
Your impact will be measured not only by successful AI deployments, but by the architectural standards you establish, the trust you build with enterprise clients, and the new competitive possibilities you unlock for organizations in the AI era.
Responsibilities
- Lead the technology direction and execution of Turing’s Applied AI practice in Banking & Financial Services, ensuring the execution of high-impact programs with enterprise clients.
- Interact with clients to ideate and design AI solutions to help solve enterprise problems
- Own the oversight for design, build and deployment of GenAI-powered applications, including agentic systems, copilots, reasoning workflows, and enterprise orchestration frameworks.
- Lead and manage Generative AI and Forward-Deployed Engineering teams, ensuring delivery excellence and clear growth opportunities while staying closely engaged in critical program and design decisions.
- Build trusted partnerships with senior enterprise stakeholders, shaping program objectives and aligning with their business transformation and productivity goals.
- Define and enforce rigorous engineering standards, methodologies, and quality management processes to ensure reliability, scalability, and security across enterprise GenAI applications.
- Translate engineering & delivery experience into repeatable playbooks and common product infrastructure that establish Turing as a trusted partner for deploying applied GenAI solutions at speed and at scale.
- Partner with commercial teams to scope, shape, and resource programs, ensuring engineering capability scales with client demand.
- Act as the accountable executive for engineering & delivery excellence in Generative AI applications, representing Turing with credibility and authority to senior external stakeholders.
Requirements
- 15+ years of experience in the engineering & delivery of technology services, with at least 5 years leading large-scale, client-facing engineering or applied AI practices.
- Deep domain expertise in banking & financial services
- Prior accountability for delivery outcomes at enterprise scale — budgets, teams, and programs spanning multiple regions or business units.
- Deep and hands-on expertise in applied GenAI systems, e.g. agentic workflows, copilots, multimodal integration, orchestration frameworks, and enterprise deployment.
- Proven record of building and managing senior technical teams (including engineering managers, architects, and data leaders).
- Track record of working directly with C-level stakeholders in Fortune 500 or equivalent enterprises
- Experience shaping consulting-style or services-led programs where delivery quality and client satisfaction were the growth drivers.
- Strong business acumen and the ability to balance delivery excellence with commercial growth priorities.
- Demonstrated ability to scale operations while preserving technical depth and client intimacy.
- Exceptional communication skills and credibility in executive-level interactions with enterprise clients, internal leadership, and external partners.
- Background in Computer Science, Data Science or relevant field, with a strong preference for advanced degrees and/or recognized thought leadership in AI, demonstrated through patents, publications, industry awards, or equivalent credentials.
- You are currently based in or willing to relocate to New York City - this is a non-negotiable requirement