Lead Generative AI Engineer specializing in generative AI model development and AI transformation for KPMG clients. Drive innovation and address complex business challenges with AI initiatives.
About the role
- Design and deliver the systems, pipelines, and internal tools that allow SingleFile teams to effectively leverage AI, spanning scalable data pipelines, secure data access frameworks, and governance controls.
- Define and prioritize how teams securely access, process, and apply data for AI use cases, ensuring privacy, security, and regulatory compliance are built in from the start.
- Partner with engineering and data teams to evolve our cloud and SaaS architecture to support AI-driven workflows at scale, including APIs, permissions models, and infrastructure services.
- Own the roadmap for long-term initiatives such as permissions, AI infrastructure, APIs, and related platform areas.
- Define and measure platform KPIs such as system performance, data accessibility, and AI adoption metrics to guide iteration and investment.
- Collaborate closely with engineering leads and architects to define requirements, evaluate technical tradeoffs, and guide product development with an understanding of system design principles.
- Drive backlog management, sprint planning, and delivery of high-quality, technically sound platform capabilities, ensuring engineering teams have clear priorities and context.
- Work with executives, security, compliance, and product teams to ensure AI infrastructure investments unlock real customer and business value downstream.
Requirements
- 5+ years in product management with a focus on technical or platform initiatives such as data platforms, APIs, AI/ML infrastructure, or cloud systems.
- Familiarity with SaaS architecture, cloud platforms, APIs, and AI/ML technologies.
- Experience with data governance, security frameworks, or scaling AI systems is a strong plus.
- Understanding of how modern AI models interact with data pipelines, infrastructure, and APIs, and ability to translate business needs into technical requirements for AI enablement.
- Background in legal technology, compliance, or other regulated industries, with an understanding of workflows, data sensitivity, and the customer landscape.
- Proven track record of leading technical product areas and partnering with engineering to deliver platform capabilities at scale.
- Strong communicator who can align executives, engineers, and product stakeholders around a shared vision.
- Ability to connect infrastructure investments to downstream customer and business outcomes.
- Thrives in a distributed, fast-paced startup environment with a bias for action.
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