Lead AI Engineer
Role Overview
The Lead AI Engineer serves as technical authority, client principal, and line manager across enterprise engagements in the UAE.
The role combines quantitative science, agentic AI architectures, modern MLOps, and strategic consulting.
Key Skills for This Role
Full Job Posting
About DeepLight AI
DeepLight AI is an AI and data consultancy building secure, scalable enterprise platforms with quantitative expertise, cloud architecture, and MLOps.
The consultancy works with financial services and banking institutions in the UAE to move from experimental models to production AI platforms.
The opportunity
The Lead AI Engineer serves as technical authority, client principal, and line manager across enterprise engagements in the UAE.
The role combines quantitative science, agentic AI architectures, modern MLOps, and strategic consulting.
Leadership and delivery
- Manage a squad of 5–10 AI engineers, data scientists, and MLOps specialists; lead one-to-ones, appraisals, career development, coaching, and team wellbeing.
- Design, build, and deploy enterprise LLM agents, multi-step agentic workflows, RAG pipelines, and ML models on AWS or Azure.
- Advise client executives and technical leaders; translate business challenges into technical blueprints, evaluation harnesses, and delivery roadmaps.
- Align business and IT stakeholders, resolve project friction, and defend technical choices, explainability models, and AI ethics to review boards and risk committees.
- Design zero-trust AI security, prompt injection defenses, PII masking, and automated CI/CD compliant with regional regulatory frameworks such as UAE PDPL and Central Bank rules.
What the role requires
- At least 3 years of formal line management experience developing engineers, data scientists, and technical specialists.
- Bachelor’s or Master’s degree in Mathematics, Theoretical Physics, Physics, Computer Science, Artificial Intelligence, or a related quantitative field.
- At least 8 years in software engineering, machine learning, and AI platform development, with substantial team leadership in top-tier technology or management consultancies.
- Advanced Python and hands-on implementation of autonomous agents, tool calling, state management, and multi-agent workflows.
- Interpersonal awareness, active listening, client trust-building, and empathetic team leadership.
- Proven delivery of AI/ML systems into secure, high-concurrency production cloud environments.
Additional advantages
- Practical LoRA or QLoRA fine-tuning, quantization, and serving open-weight LLMs with vLLM, Ollama, or TGI are advantageous.
- Experience deploying AI in financial services, banking, or capital markets is advantageous.
- UAE or GCC market experience with enterprise procurement, client dynamics, or local regulations is advantageous.
Benefits
- Competitive salary, comprehensive personal health insurance, and individual visa sponsorship.
- Professional development and certification support, role-related subscription reimbursement, and a monthly employee incentive program.
- Opportunity to work on cutting-edge AI projects and pursue career advancement.
Location
- The role covers enterprise engagements in the UAE; a specific workplace arrangement is not stated.
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