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About the Role

Barings is scaling the safe, governed adoption of AI across the firm. The Innovation & Data Insights team within Global Technology is central to this effort, combining asset-management business knowledge with hands-on engineering to create working AI solutions. We are looking for a Forward Deployed AI Engineer to embed with Investment, Client & Support teams, understand their workflows, and build AI-powered solutions that deliver tangible value.

Responsibilities

Leverage AI tools to accelerate solution design, building analytics and modelling solutions grounded in domain expertise.
Partner with Business stakeholders and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling.
Run tasks end-to-end, from scoping and prototyping through to deployment, using AI-native tooling across design, testing, and documentation.
Write production code that deploys through our pipelines and meets engineering standards.
Build custom integrations, workflow automations, and domain-specific solutions on top of Barings AI platform, including connectors to business data sources and document management systems.
Prototype fast, validate with the business, iterate, and ship.
Own the technical relationship with the business team throughout each engagement.
Support the delivery of investment, client & operational workflows, identify high-value AI use cases, and build proofs of concept that demonstrate measurable impact.
Generalize reusable patterns into platform capabilities by working with engineering and product.
Participate in architecture discussions alongside core engineering.
Deliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling.
Build and contribute to AI platform architecture standards, including prompt-engineering patterns, agentic workflow design, and LLM integration guidelines.
Collaborate with the wider technology and AI Platform teams to specify dependencies for analytical solutions.
Collect, structure, and synthesize user feedback, pain points, and feature requests, translating them into clear requirements and prioritized recommendations for the AI Platform team.
Identify patterns across teams to surface high-impact opportunities, quantify potential impact, and highlight use cases with broader applicability.
Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance.
Demonstrate conformance to all Barings Enterprise Risk Management policies.
Ensure all development activities are undertaken within the defined control environment.

Requirements

Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of your daily workflow.
Daily proficiency with AI coding tools such as Claude or GitHub Copilot.
Hands-on LLM integration experience.
Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture.
Cloud platform experience.
Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar.
Strong analytical skills — the ability to understand a business problem first, then apply AI tools to accelerate solution design.
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.
Experience with external market providers such as Hebbia or comparable enterprise AI intelligence and agentic research platforms.
Experience with Microsoft 365 Copilot, Copilot Cowork, and Copilot Studio.
Familiarity with prompt-engineering patterns and agentic workflow design.
Experience building connectors to document management systems and enterprise data sources.
Experience delivering enablement — training, office hours, and documentation — to non-technical audiences.
Experience within asset management, financial services, or another regulated industry is strongly preferred.
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.

Skills

AI-native development tools
AI coding tools
LLM integration
MCP (Model Context Protocol)
REST APIs
Microservices architecture
Cloud platform
Agentic frameworks
LangChain
LangGraph
AutoGen
Prompt-engineering patterns
Agentic workflow design
Connectors to document management systems
Enterprise data sources
Enablement delivery
Training
Office hours
Documentation

Location

London, UK

Work Type

Full-time

Experience Level

Senior Associate

About the Company

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.
We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Equal Opportunity

Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.