Forward Deployed AI Engineer

Apply cutting-edge AI to complex professional settings and real investment workflows, developing deep expertise with leading LLMs.

Build intimate domain expertise in how our users work — from credit agreements to lease documents — so that solutions fit the real workflow.

Become a core, trusted AI advisor to our stakeholders, driving adoption, value, and growth.

Optimise processes for scale by defining and continually enhancing the internal workflows that shape and improve how we work.

Own problems in ambiguity, operating with autonomy in fast-moving, unstructured environments — quickly distilling complex problems, learning on the fly, and driving to actionable solutions across customer and product needs.

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.

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.

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.

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.

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.

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.