AI Engineer

• Designing, building, and deploying AI-powered tools, agents, and workflow automations for use across the firm.
  
• Working hands-on with the Claude ecosystem - Cowork, Claude Code, Connectors, Skills, and Plugins - alongside other AI platforms (ChatGPT, Gemini, and others).
  
• Owning the end-to-end deployment lifecycle for AI tools and agents, including packaging, testing, hosting, and monitoring in production.
  
• Collaborating with teams across the firm to identify opportunities to automate repetitive or manual processes using AI and workflow orchestration tools.
  
• Reviewing and validating AI-generated outputs to ensure accuracy, completeness, and reliability before they reach internal or client-facing use.
  
• Staying current on evolving AI capabilities and evaluating new tools and platforms for potential adoption.
  
• Documenting technical approaches clearly and communicating outcomes to both technical and non-technical stakeholders.
  
• Exercising sound judgement across AI workflows: assessing which client and fund data may be sent to which model, working exclusively through approved endpoints and enterprise tooling, and upholding the confidentiality obligations expected in a financial services environment.
  
• Complying with IT policies and procedures.
  
• Maintaining the security of information at all times.
  

Requirements

• AI Tools & LLMs - Hands-on experience using platforms such as Claude, ChatGPT, Gemini, or Copilot, with the prompt-engineering skill to get consistent, high-quality outputs across models.
  
• Agents and MCP - Hands-on experience building agentic workflows and integrating external tools through MCP servers or equivalent tool-use frameworks. Alongside this, a systematic approach to validating model output: maintained eval sets, regression checks before release, and structured human review loops, rather than ad-hoc spot checking.
  
• Demonstrated Projects - Self-built AI projects or agents you can showcase, covering both standard and custom workflow-specific use cases. Projects built with Claude (Cowork, Claude Code, Connectors, Skills, Plugins) are particularly valued.
  
• Prompt Engineering - Ability to structure prompts effectively - framing tasks clearly, refining outputs, and adapting instructions to get consistent, high-quality results across different AI models.
  
• Build & Deploy - Experience taking an AI tool or agent from build to production; packaging (Docker), hosting, and monitoring in a real environment.
  
• Technical Skills - Python for scripting, API calls, and data pre-processing; SQL for querying structured data; React for simple internal dashboards; AI coding tools such as Claude Code or ChatGPT Codex.
  
• Communication & Collaboration - Good communication skills, with the ability to work effectively across teams and explain technical work clearly to non-technical stakeholders
  

• Bachelor’s or Master’s degree in computer engineering, Computer Science, or any other relevant specialization (e.g., AI/ML, Data Science, IT).
  

• 1+ years of relevant experience in AI/ML engineering, software development, or applied AI projects.
  
• You should be able to clearly demonstrate how you have used AI tools - including Claude - to build, deploy, and improve efficiency, quality, or speed in a professional context.