Lead AI Engineer — Banking‑Grade Enterprise AI

Deeplight AI

Abu Dhabi

On-site

AED 400,000 - 700,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Visa sponsorship
Professional development
Subscriptions
Incentive program
Career growth

Job summary

Deeplight AI in the UAE is seeking a Lead AI Engineer who will act as a technical authority, client principal, and line manager across enterprise engagements. You will lead a squad of 5–10 AI Engineers, Data Scientists, and MLOps specialists, coaching, career development, and performance review while upholding high technical standards.

You will design autonomous workflows, deploy LLM agents on AWS/Azure, and translate complex business challenges into executable blueprints and delivery roadmaps.

Qualifications

  • 3+ years of formal line management experience overseeing engineers and data scientists.
  • Master's or Bachelor's in Mathematics, Theoretical Physics, Physics, CS, AI, or a related quantitative field.
  • 8+ years in software engineering, ML, and AI platform development with leadership experience.

Responsibilities

  • Direct line management for a squad of 5–10 AI Engineers, Data Scientists, and MLOps specialists.
  • Architect autonomous, agentic workflows and deploy enterprise-grade LLMs on cloud platforms (AWS/Azure).
  • Advise clients at C-suite level, translate business needs into technical execution roadmaps.
  • Navigate complex stakeholder environments, defend explainability and ethics in ARBs.
  • Enforce banking-grade security and compliant MLOps pipelines in regulated regions.

Skills

Line management
Python
Agentic AI
Production ML
Client engagement

Education

Quantitative degree

Tools

AWS Cloud
Azure Cloud
MLOps

Job description

Deeplight AI in the UAE is seeking a Lead AI Engineer who will act as a technical authority, client principal, and line manager across enterprise engagements. You will lead a squad of 5–10 AI Engineers, Data Scientists, and MLOps specialists, coaching, career development, and performance review while upholding high technical standards.

You will design autonomous workflows, deploy LLM agents on AWS/Azure, and translate complex business challenges into executable blueprints and delivery roadmaps.

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