Forward Deployed AI Engineer

Overview

In this role you embed with Investment, Client & Support teams to turn AI capability into tangible value. You will scope, prototype, validate with business partners, and ship production-grade AI solutions spanning automation and client-facing tooling. You’ll leverage AI-native platforms and contribute to reusable patterns across the Barings AI platform. You combine asset-management knowledge with software engineering and responsible AI practices to drive adoption and measurable impact.

Responsibilities

• Understand business problems to design AI-powered solutions grounded in domain knowledge
• Prototype, validate, and deliver automation, workflow orchestration, and client-facing tooling
• Write production-grade code and integrate with Barings data sources and document management systems
• Prototype rapidly, iterate with the business, and ship solutions
• Contribute to AI platform standards and reusable pattern development
• Lead responsible AI practices, risk, and governance in deployments
• Deliver enablement through training, demos, and documentation
• Collaborate with engineering, product, and business stakeholders throughout engagements
• Own technical relationships with business teams during engagements
• Translate user feedback into clear requirements for the AI Platform team

Key requirements

• Software engineering experience with recent use of AI-native development tools
• Proficiency with AI coding tools (Claude, GitHub Copilot)
• Hands-on LLM integration experience
• Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices
• Cloud platform experience
• Experience with agentic frameworks (LangChain, LangGraph, AutoGen)
• Strong analytical and domain understanding of asset management workflows
• Initiative and ownership with end-to-end task delivery

• strong business understanding and collaboration with stakeholders
• autonomy in fast-moving, unstructured environments
• ability to distill complex problems and drive actionable solutions
• Claude and GitHub Copilot proficiency
• LLM integration
• MCP, REST APIs, microservices

…