Forward-Deployed AI Engineer for Investment AI

Barings

Greater London

On-site

GBP 90,000 - 120,000

Full time

19 hours ago
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Job summary

Barings is seeking a Forward Deployed AI Engineer in London to embed with Investment, Client & Supporting teams. You will scope, prototype and ship production-grade AI solutions across automation, workflow orchestration and client tooling, using AI-native platforms and strong software engineering practices.

The role combines asset-management domain knowledge with hands-on AI development, requiring the ability to distill complex problems, write production code, and mentor teams on responsible AI

Qualifications

  • Software engineering with active use of AI-native development tools.
  • Proficiency with Claude or GitHub Copilot.
  • Hands-on LLM integration experience.
  • Familiarity with MCP, REST APIs and microservices architecture.
  • Cloud platform experience and enterprise AI tooling.

Responsibilities

  • Understand business problems and design AI-powered solutions.
  • Prototype, validate with business and ship production-grade code.
  • Build integrations and connectors to data sources and document systems.
  • Deliver end-to-end using AI-native tooling across design, testing and documentation.
  • Own engagements and manage stakeholder relationships.
  • Provide enablement via training, office hours and demos.

Skills

AI-native development
AI tools (Claude/Copilot)
LLM integration
REST APIs & microservices
Cloud platforms
LangChain/LangGraph/AutoGen
Analytical thinking
Asset management domain knowledge
End-to-end ownership

Tools

Microsoft 365 Copilot
LangChain
LangGraph
AutoGen
REST API tooling

Job description

Barings is seeking a Forward Deployed AI Engineer in London to embed with Investment, Client & Supporting teams. You will scope, prototype and ship production-grade AI solutions across automation, workflow orchestration and client tooling, using AI-native platforms and strong software engineering practices.

The role combines asset-management domain knowledge with hands-on AI development, requiring the ability to distill complex problems, write production code, and mentor teams on responsible AI

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