Lead Agentic AI Engineer – Enterprise Data Platform (EDP)

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.

Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As the Lead Agentic AI Engineer within the Enterprise Data Platform (EDP) at MultiBank Group, you will define and build MBG’s agentic AI capability. The EDP provides the governed data foundation for analytics, machine learning, and AI across the Group, and MBG has launched a Group-wide initiative to design and deploy AI agents for Sales, Marketing, Finance, Operations, Customer Service, and Compliance.

You will own the end-to-end lifecycle of AI agents, from use-case discovery with business teams through architecture, development, evaluation, deployment, and production monitoring. You will set the technical direction, standards, and reference architecture for agent development at MBG while remaining hands-on, and you will lead and mentor AI engineers. You will work closely with data engineers, platform and security teams, and business leaders, reporting directly to the Head of Data & AI. Apply now to shape the future of finance with AI!

Company Overview

Founded in 2005 in California and headquartered in Dubai, MultiBank Group is one of the world’s largest and most regulated financial derivatives institutions, with a current paid-up capital of over USD 322 million. Serving over 2 million clients worldwide, MultiBank Group maintains a vast physical network with dedicated office spaces in 26 countries. Our extensive product offerings comprise forex pairs, metals, commodities, indices, shares, cryptocurrency spot and derivatives, RWAs, and the $MBG token. With over 80 global awards, MultiBank Group remains committed to innovation, client protection, and shaping the future of finance.

Quick Details

• Salary Range: Not Specified
• Job Type: Full-time
• Experience: 5 Year+
• Qualifications: Bachelor’s degree

Key Responsibilities

• Design, build, and deploy single- and multi-agent systems that automate workflows and decision support across business domains.
• Implement agent patterns including tool use, planning, memory, retrieval-augmented generation (RAG), and multi-agent orchestration.
• Build integrations to enterprise systems using APIs and Model Context Protocol (MCP) servers.
• Establish evaluation frameworks for agents covering task success, accuracy, and cost benchmarks.
• Implement guardrails, human-in-the-loop checkpoints, and fallback behavior for sensitive financial and compliance workflows.
• Build and operate agent and LLM workloads on AWS (Bedrock, Bedrock Agents/AgentCore, Lambda, ECS/EKS, Step Functions, SageMaker).

Requirements

• 8+ years of experience in software engineering, ML, or AI engineering, including 2+ years building LLM/agentic systems with at least one delivered to production.
• Proven experience building and deploying LLM-based agents in production (tool/function calling, orchestration, RAG, memory, multi-agent workflows).
• Hands-on with agent frameworks and protocols such as LangGraph, LangChain, LlamaIndex, Strands, or the Claude/OpenAI agent SDKs, and MCP.
• Strong prompt and context engineering skills, and experience with LLM evaluation and observability tooling.
• Expert Python; experience building APIs and services (FastAPI or similar).
• Solid grounding in data pipelines, warehousing, and SQL; experience with Redshift, Snowflake, or Databricks is a plus.
• Financial services, trading, FX, crypto, or other regulated industry experience preferred.

Benefits

• Build and lead MBG’s agentic AI capability from the ground up, with a Group-wide mandate.
• Own the full agent lifecycle in production, not just prototypes.
• Direct access to a governed, AI-ready enterprise data foundation (EDP/EDW) and executive sponsorship.
• Shape AI standards, architecture, and governance at Group level.
• Work on high-impact, high-volume data in a global financial organization.
• Competitive salary and comprehensive employee benefits.
• Opportunities for professional growth and career advancement.
• Collaborative, inclusive, and dynamic work environment.