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Forward Deployed AI Engineer

Barings
London, GBR
Full-time
Mid
Onsite
Discovered 2 weeks ago

Full Job Posting

Key Responsibilities

  • Solution design & delivery
  • Understand the business problem first, then 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 throughout — not just for coding, but across design, testing, and documentation.
  • Write production code that deploys through our pipelines and meets our 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.
  • Forward-deployed engagement
  • 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.
  • Return from engagements and work with engineering and product to generalise reusable patterns into platform capabilities.
  • Participate in architecture discussions alongside core engineering.
  • Enablement & training
  • Deliver hands-on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling — including prompting practices, workflow integration, and limitations.
  • Platform contribution & feedback loop
  • 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 the dependencies analytical solutions require, such as data, development environments, and tooling.
  • Collect, structure, and synthesise user feedback, pain points, and feature requests, translating them into clear requirements and prioritised 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 across the wider AI organisation.
  • Responsible AI, risk & control
  • 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.
  • Required Skills & Experience
  • 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.

Preferred Qualifications

  • 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.
  • Industry Experience (Preferred)
  • 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.
  • Requisite Skills
  • Additional Skills
  • 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.

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