Applied AI Lead

Responsibilities

We are representing a confidential private markets organization seeking an Applied AI Lead to drive the delivery of production-ready generative AI solutions. You will lead a multidisciplinary team of applied AI engineers, ML engineers, and full-stack developers building high-impact products across investment operations and business functions.

In this role, you will:

• Lead, mentor, and grow a multidisciplinary Applied AI team with clear expectations for delivery quality and technical craft
• Own the Applied AI roadmap in close alignment with business stakeholders and value stream teams; evaluate emerging AI capabilities and identify where new models, agents, or tooling unlock value
• Partner with platform, product, data, and security teams to ensure Applied AI products integrate cleanly and responsibly
• Serve as the senior AI partner to business lines—working directly with investment professionals and leaders to translate opportunities into concrete deliverables
• Drive adoption of shipped products through enablement, demonstrations, training, and active feedback loops with end users
• Track the AI frontier and apply fresh thinking to raise the bar on what the organization can build
• Measure and communicate business impact with rigour—instrumenting both engineering productivity gains and user adoption
• Lead with craft, actively contributing to assignments alongside your leadership duties

What We're Looking For

Must-have qualifications:

Leadership & Credibility: At least 10 years in software or ML/AI engineering, with 3–5 years in a leadership capacity managing teams or strategic delivery in applied AI, ML product, or AI platform environments

Demonstrated AI Leverage & Outcomes: Concrete evidence of AI-driven productivity gains—a specific product, workflow, or internal tool you shipped with AI; measurable before/after metrics (latency, throughput, manual-work elimination); and documentation of how you measured impact

Willingness to Abandon Habits for Better Tooling: You've changed your approach to building AI systems because a new capability made the old one obsolete. You ship what works now, not what worked last year, and you bring that standard to how you lead

Working Knowledge of Private Equity & Deal Workflow: Genuine operational fluency in PE—deal cycles, investment decision-making, portfolio workflows, or comparable high-stakes professional services. You can translate ambiguous business needs into shippable features and understand where AI actually applies versus distraction

Measurement & Instrumentation: You cultivate a culture of transparency and clarity. You measure impact and productivity to empower your team, identify where the organization wins, and remove barriers to success. You believe rigorous, data-informed insights create fairness and accountability

Stakeholder & Cross-Functional Leadership: You've translated ambiguous business needs into shippable AI products in close partnership with non-technical stakeholders. You lead across engineering, product, data, and security without formal authority. You've rolled out internal platforms or shared services and know how to drive adoption

Judgment About What's Real vs. Hype: You follow AI research actively but skeptically—testing whether new capabilities solve problems you care about. You experiment thoughtfully and bring a craft-oriented mindset to your team

Comfort in Ambiguity & Distributed Environments: You've operated effectively in large, complex organizations across time zones, unclear ownership, and shifting priorities

Nice to have:

• Direct experience in private equity operations, investing, or portfolio company engagement
• Experience with data governance, security, and AI compliance frameworks
• A track record of building strong developer experiences and high-leverage internal tooling
• Experience enabling AI adoption at organizational scale, including training, change management, or community building
• Familiarity with AI infrastructure or platform team environments beyond applied AI delivery
• A public track record of open-source contributions, technical writing, or speaking on AI systems design or engineering practices

How We Work With You

Our talent team at Get A Job.ai will guide you through the entire process. Once you apply through our platform, a recruiter will conduct an initial screening to understand your background and ensure alignment with the role requirements. We'll then submit your profile to our client for consideration. Please do not attempt to contact the client directly—all communication should flow through Get A Job.ai to ensure a smooth and professional process.

This is a rare opportunity to shape how a leading private markets firm applies AI at scale. You'll work alongside sharp minds in finance and technology, with the mandate and resources to build something genuinely impactful in a high-trust environment where delivery matters.

Pay

Compensation details will be discussed during the screening process and are competitive for this senior leadership role in London's financial technology sector.

Equal Employment Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with our clients to ensure fair and equitable recruiting processes.