Associate, AI Engineer

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co-investments and secondary purchases, across private equity, real assets and private credit.

We have partnered with more than 650 clients, including institutional investors of all sizes as well as a growing number of private wealth advisers and investors, with approximately $65bn in discretionary assets under management (as of December 31, 2023).

Leveraging our specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures.

Pantheon is seeking an AI Engineer to contribute to the engineering delivery of production-ready AI capabilities within Pantheon’s AI Product Squad. As the firm transitions from experimentation into sustained, scalable delivery, this role will be responsible for turning validated AI opportunities and product requirements into secure, reliable, observable, and cost-effective AI products and platform capabilities.

Working in a squad-based model alongside the AI Product Owner, this role will provide technical input and hands-on engineering required to design, build, integrate, deploy and operate AI solutions across Pantheon’s workflows. The AI Engineer will work closely with Software Engineering, Data Engineering, the AI Product Owner and Data & Analytics colleagues (including rotational squad members) to ensure AI capabilities are built on trusted data, integrated into real platforms, and operated in line with Pantheon’s governance standards.

This is a hands-on role for an engineer who thrives on applied AI delivery, LLM application architecture, retrieval and agent patterns, evaluation/observability, and production hardening, combined with strong judgement on trade-offs across quality, risk, latency and cost.

• Engineering involvement within the AI Product Squad
• Act as a core part of the AI Product Squad, shaping the technical approach to deliver the AI roadmap set by Technology leadership and prioritised by the AI Product Owner.
• Contribute to solution architecture for AI products/capabilities, including design decisions, build plans, technical risks, dependencies, and delivery sequencing.
• Work collaboratively with rotational squad members (Software Engineering, Data Engineering, Data & Analytics, QA), establishing consistent patterns, coding standards, and delivery practices.
• Partner with the AI Product Owner to translate product requirements into delivery-ready technical work items, acceptance criteria, and release plans.

• Design and implement AI-enabled products and services, including LLM applications, agents, and workflow automations that integrate with Pantheon’s platforms and operating processes.
• Implement core patterns such as retrieval-augmented generation (RAG), tool/function calling, structured outputs, and orchestration, applying the simplest effective approach for each use case.
• Engineer integrations with enterprise data and systems (APIs, document stores, databases), ensuring correct permissions, provenance, and auditability.
• Build reusable components (e.g., retrieval pipelines, prompt/tool schemas, policy guardrails, evaluation harnesses) to accelerate future delivery and consistency.
• Actively and consistently track emerging AI techniques, architectures, and tools beyond current approaches (e.g. RAG, agents), and drive their evaluation and adoption.

• Define and implement evaluation strategies for AI systems, including regression test suites, gold sets, offline/online evaluation, and human review workflows where appropriate.
• Implement AI observability and monitoring to track quality, reliability, behaviour, latency, and cost in production (including evaluation of native platform capabilities and specialist tools).
• Establish feedback loops from monitoring and user outcomes to drive continuous improvement, defect reduction, and drift management.