Senior AI Engineer/ AI Solutions Lead

What you will do

The role exists to rapidly deliver business-facing AI solutions for an Investment Bank, with a strong emphasis on quick ROI for traders and lending teams.

The initial focus is designing and building AI-powered tools (POCs/MVPs) that automate or augment work currently done by junior investment researchers, including:

• Researching documents, papers, websites, and internal/external data sources
• Synthesizing insights for traders and banking stakeholders
• Integrating AI capabilities into existing UBS platforms

This is not a pure R&D role—success is measured by adoption, business impact, and speed to value.

1. Business & Stakeholder Engagement

   • Work directly with traders, junior traders, and banking stakeholders

   • Translate business problems into AI use cases

   • Lead discovery, scoping, and requirement shaping for AI initiatives

   • Act as a bridge between business, data, and engineering

2. AI Solution Design & Delivery

   • Design and implement AI-driven POCs and MVPs with fast turnaround

   • Build AI agents / "avatars" capable of:

   ○ Researching structured and unstructured data
   ○ Calling external/internal APIs
   ○ Producing synthesized outputs for end users

   • Contribute to or extend existing AI platforms (e.g., MCP‑based services)

3. Technical Execution (Hands‑on)

   • Develop backend AI services and orchestration layers

   • Contribute to frontend integrations (React-based UIs)

   • Integrate LLMs, copilots, and AI tooling into enterprise platforms

   • Ensure solutions are secure, scalable, and production‑ready (where required)

4. POC‑to‑Scale Enablement

   • Support transition from POC → MVP → wider rollout

   • Define patterns, reusable components, and best practices

   • Mentor junior engineers/analysts as the team scales

   • Enable a "factory" model over time

Requirements

MUST

AI & Engineering

• Strong hands‑on experience with LLM‑based solutions
• Experience building AI agents / assistants / copilots
• Backend development experience (API‑driven architectures)
• Familiarity with React or modern web frontends
• Experience integrating multiple data sources and APIs
• Understanding of AI orchestration layers (agent frameworks, MCP‑like patterns)

Cloud & Tooling

• Experience in Microsoft/Azure AI ecosystem preferred
○ Copilot, Azure OpenAI, Azure AI services
• Enterprise‑grade development practices (security, logging, governance)

Banking & Domain Knowledge

• Investment Banking / Global Banking exposure
• Lending, IB, or NCL (Non‑Core Lending) knowledge strongly preferred
• Understanding how traders and banking teams consume insights

Communication & Consulting Skills

• Strong verbal and written communication
• Ability to engage confidently with traders
• Business analysis and problem‑framing skills
• Comfortable operating with incomplete requirements
NICE TO HAVE

• Prior experience automating research or analyst workflows

  • Experience with:

  ○ Knowledge retrieval (RAG)
  ○ Document intelligence
  ○ Financial data platforms

  • Previous work in POC-heavy or innovation teams

  • Exposure to Tier‑1 banks