AI Solutions Architect

Role Description

Architect and build Serendipity Capital's proprietary AI and data platform - a unified infrastructure that connects the firm's structured databases, unstructured knowledge, and external data sources through a common API layer, enabling AI-powered applications and agents across the investment life cycle.

Core Responsibilities

• Data infrastructure: Design and maintain the firm's core data layer, including structured databases, document storage, and ingestion pipelines for internal and external data sources. Ensure data is clean, well-organised, and accessible through standardised interfaces.
• Internal tooling and automation: Build internal tools and workflows that streamline investment operations, from research and pipeline management to portfolio monitoring. Select appropriate technologies and integrations, optimising for cost, reliability, and output quality.
• Systems architecture: Develop modular, maintainable systems that can evolve with the firm's needs. Avoid lock-in to any single vendor or framework and ensure components are composable and well-documented.
• Infrastructure and security: Own hosting deployment, and data security decisions appropriate for a regulated investment firm handling sensitive deal flow and investor data. Keep systems lightweight, stable, and suitable for long-term internal use.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related discipline
• AI-native engineer with expert proficiency in AI-assisted development tools (e.g. Claude Code, Codex, Cursor) and the ability to leverage them to ship production software at accelerated pace
• Experience with MCP (Model Context Protocol) and agentic AI architectures
• Experience building AI/ML solutions including LLM applications, RAG pipelines, and vector databases
• Proficiency in Python and TypeScript/Node.js, with working knowledge of SQL databases
• Hands-on cloud infrastructure and DevOps experience including Docker, CI/CD, and Git
• Ability to lead full-cycle projects from scoping through to stakeholder delivery
• Experience working directly with clients or senior stakeholders to translate business needs into technical solutions
• Previous exposure to investment, venture capital, or financial services environments