AI Solutions Engineer: Build AI-Driven Investment Knowledge

A leading Private Equity firm is seeking an AI Solutions Engineer to lead the evolution of its internal information and intelligence infrastructure.

The focus of the role is on transforming fragmented investment and portfolio data into scalable, searchable and commercially useful systems that support better decision-making across the platform. This is a hands‑on build role, working across data architecture, knowledge retrieval and AI‑enabled workflow automation.

Requirements

• Experience delivering AI/data platforms from concept to production




• Strong understanding of RAG, semantic search, vector databases and AI architecture




• Experience within Databricks and Microsoft environments




• Ability to translate investment or operational workflows into practical AI solutions




• Comfortable operating in a fast‑moving, build‑phase environment

Responsibilities

• Develop an AI‑enabled knowledge and retrieval layer across internal data




• Structure and operationalise unstructured investment information




• Implement contextual search and AI‑driven workflow capabilities




• Support the move from AI experimentation to embedded business adoption

Ideal profile

• Background within private equity or investment environments




• Experience building internal AI or data products from scratch




• Strong commercial and technical communication skills

If you’re interested in leading impactful technology initiatives within a high‑performing environment, we’d love to hear from you.

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