Lead Agentic AI Engineer – Enterprise Data Platform (EDP)
Leads MultiBank Group's agentic AI capability on its Enterprise Data Platform — designing, building, evaluating, and running LLM-based AI agents in production for Sales, Marketing, Finance, Operations, and Compliance. Day-to-day is hands-on Python and AWS Bedrock work with LangGraph, RAG, and MCP, plus mentoring AI engineers.
- Compensation
- Not disclosed
- Location
- Dubai, United Arab Emirates
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years in software engineering, ML, or AI engineering
- 2+ years building LLM/agentic systems with at least one delivered to production
- Experience leading or mentoring engineers and setting technical standards
- Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related field
- 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, Claude/OpenAI agent SDKs, and MCP
- Strong prompt and context engineering skills
- Experience with LLM evaluation (offline evals, LLM-as-judge, human review) and observability tooling
- Understanding of guardrails, prompt-injection risks, and safe tool-permission design
- Strong hands-on AWS Bedrock (and Agents/AgentCore), plus Lambda, API Gateway, IAM
- Containerized deployments with Docker
- Expert Python
- Experience building APIs and services (FastAPI or similar)
- Familiarity with open-source ML/NLP libraries (Hugging Face, scikit-learn) and vector databases/search
- Ability to write clean, tested, maintainable production code
- Solid grounding in data pipelines, warehousing, and SQL
- Understanding of data privacy, compliance, and risk considerations for AI systems
- Strong stakeholder management: translate business problems into agent designs and explain AI concepts to non-technical leaders
Nice to have
- Technical lead experience
- Master's degree or relevant certifications (AWS ML Specialty, AWS AI Practitioner/Developer, other AI certifications)
- ECS/EKS experience
- Experience with SageMaker or other ML platform services
- Experience with Redshift, Snowflake, or Databricks
- Experience with data governance and metadata tooling (e.g., OpenMetadata)
- Financial services, trading, FX, crypto, or other regulated industry experience
Full description
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 a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview:
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.
Key Responsibilities
Agentic AI Design & Development
- Design, build, and deploy single- and multi-agent systems that automate workflows and decision support across Sales, Marketing, Finance, Operations, and other business domains.
- Implement agent patterns including tool use, planning, memory, retrieval-augmented generation (RAG), and multi-agent orchestration.
- Build integrations to enterprise systems (EDW/Redshift, CRM, Back Office, payments, support, and marketing platforms) using APIs and Model Context Protocol (MCP) servers.
- Partner with business stakeholders to identify high-value use cases, define success metrics, and convert them into production agents.
Evaluation, Reliability & Safety
- Establish evaluation frameworks for agents covering task success, accuracy and groundedness, regression testing, and cost and latency benchmarks.
- Implement guardrails, human-in-the-loop checkpoints, permission scoping, and fallback behavior for sensitive financial and compliance workflows.