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 Generative AI, you will define how some of the world’s largest companies harness emerging technologies to reimagine their operations, products, and workforce productivity.
This is both a strategic and hands-on position. You will be trusted to set a vision for how generative systems can create lasting enterprise value, while also guiding teams through the complexity of turning that vision into real-world applications. The role requires the judgment to engage credibly with senior executives, the technical depth to influence architectural decisions, and the leadership to scale teams working at the frontier of applied AI.
You will thrive here if you can navigate ambiguity, inspire confidence in high-stakes client environments, and build organizations that balance speed with rigor. The impact of your work will be measured not only in successful deployments, but in the lasting trust you create with clients and the new possibilities you open for how enterprises compete and grow in the era of AI.
Responsibilities
- Lead Turing’s Generative AI practice, 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 best practices that establish Turing as a trusted partner for deploying applied GenAI solutions 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.
- Prior accountability for delivery outcomes at enterprise scale — budgets, teams, and programs spanning multiple regions or business units.
- Deep expertise in applied GenAI systems, including 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).
- Hands-on familiarity with applied Generative AI, including agents, copilots, multimodal integration, or large-scale enterprise deployments.
- 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.