AI Engineering Manager, GenAI & Data for Finance (Remote)

EY US; Remote; AED 120,000 - 200,000; Full time

Job summary

A global professional services firm seeks an AI Engineering Manager to lead the delivery of AI solutions, supporting clients in financial and operational decision-making. This role involves managing technical teams, developing innovative AI solutions, and ensuring compliance with governance standards. The ideal candidate will possess a bachelor's degree in a relevant field and extensive experience in AI/ML solutions, including hands-on management of the full AI lifecycle. A proactive and entrepreneurial mindset is essential for thriving in this dynamic role.

Benefits

Competitive compensation package

Continuous learning opportunities

Transformative leadership coaching

Diverse and inclusive culture

Qualifications

• Solid hands-on managerial experience in building and deploying AI/ML solutions.
• Familiarity with GenAI tools such as OpenAI, LangChain, and HuggingFace.
• Experience managing the full AI lifecycle including MLOps and post-deployment monitoring.

Responsibilities

• Lead the design, development, and deployment of AI solutions across diverse industries.
• Work with stakeholders to identify and prioritize high-impact AI opportunities.
• Guide the adoption of LLM and GenAI technologies.

Skills

AI Engineering

Project Management

Communication Skills

Innovation

Organizational Skills

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

GCP

Job description

A global professional services firm seeks an AI Engineering Manager to lead the delivery of AI solutions, supporting clients in financial and operational decision-making. This role involves managing technical teams, developing innovative AI solutions, and ensuring compliance with governance standards. The ideal candidate will possess a bachelor's degree in a relevant field and extensive experience in AI/ML solutions, including hands-on management of the full AI lifecycle. A proactive and entrepreneurial mindset is essential for thriving in this dynamic role.