Forward Deployed AI Engineer

Join Barings, a leading asset management firm, as a Forward Deployed AI Engineer. In this hands-on role, you will work directly with our Investment, Client & Support teams to understand their workflows and build AI-powered solutions that deliver measurable value. You will leverage AI-native tools throughout the entire solution lifecycle, from design and testing to documentation. This position offers the opportunity to apply cutting-edge AI to complex professional settings and develop deep expertise in leading LLMs.

Comprendre les flux de travail des équipes d'investissement, de client et de support, et construire des solutions alimentées par l'IA qui apportent une valeur mesurable.

Responsibilities

• Collaborer avec les parties prenantes commerciales et les architectes pour concevoir, prototyper et livrer des solutions alimentées par l'IA, en gérant les tâches de bout en bout.
• Assurer la relation technique avec l'équipe commerciale tout au long de chaque engagement, en soutenant la livraison des flux de travail d'investissement, de client et opérationnels.

Requirements

• The successful candidate combines strong business understanding across asset management with genuine software-engineering depth and daily fluency in AI-native development tools
• You will be equally comfortable distilling an ambiguous business problem, writing production code, and teaching a team to use AI effectively and responsibly
• Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar
• Daily proficiency with AI coding tools such as Claude or GitHub Copilot

Hands-on LLM integration experience

• Strong business understanding across asset management, with relevant domain expertise across investments, operations, data, and workflows
• Initiative and ownership, with a track record of running tasks end-to-end with autonomy
• Strong analytical skills — the ability to understand a business problem first, then apply AI tools to accelerate solution design

Cloud platform experience

• Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of your daily workflow
• Experience delivering enablement — training, office hours, and documentation — to non-technical audiences
• Experience with Microsoft 365 Copilot, Copilot Cowork, and Copilot Studio
• Familiarity with investment, operations, and data workflows — and with the documents that underpin them, such as credit agreements and lease documents — will help you build credibility and deliver value quickly

Preferred

• Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture
• Experience with external market providers such as Hebbia or comparable enterprise AI intelligence and agentic research platforms
• Experience building connectors to document management systems and enterprise data sources
• Familiarity with prompt-engineering patterns and agentic workflow design
• Experience within asset management, financial services, or another regulated industry is strongly preferred.