Lead AI Engineer

About our client:

Our client is a global specialty materials company committed to enhancing the quality of life through innovative products and solutions, prioritizing safety and sustainability. With a focus on key sectors such as transportation, building and construction, and consumables, it leverages cutting-edge technology platforms, fosters deep customer engagement, and drives differentiated application development to maintain its leading positions in these markets. As a globally inclusive and diverse company, they have employed approximately 14,000 people around the world and serves customers in more than 100 countries.

Responsibilities:

• Oversee the design, development, and deployment of AI models and intelligent agents.
• Ensure engineering best practices in model development, testing, and deployment.
• Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.
• Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.
• Communicate effectively with global teams, bridging technical and business perspectives.
• Support change management and adoption of AI tools across business units.
• Stay current with advancements in AI and apply them to solve business challenges.
• Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.
• Lead the design and development of solutions using Agentic AI

Requirements:

Basic Qualifications:

• 10+ years of experience in software engineering, data science, AI, or a related field.
• 2+ years of experience in leadership role managing technical teams.
• Proficiency in software development and statistical analysis.
• Experience with Large Language Models and their applications.
• Strong communication skills and the ability to present technical results to business stakeholders.
• Experience with solution architecting and design.
• Hands-on experience with cloud platforms such as Azure and/or AWS.
• Proficiency in programming languages such as Python, R, or similar.
• Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.

Preferred Qualifications:

• Experience working in a global enterprise or matrixed organization.
• Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.
• Experience with large language models and supporting workflows.
• History of project leadership and development.
• Experience in applications to sales, marketing, and market research