QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in software engineering, with at least 3+ years in AI/ML solution development.
• Proven experience deploying AI/ML or GenAI solutions at enterprise scale (not just PoCs).
• Strong hands-on experience with Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices.
• Solid understanding of system design, APIs, and enterprise integration.
• Strong stakeholder management and ability to work in complex, cross-functional environments.
• Prior team leadership experience preferred.

ABOUT THE ROLE

We are looking for an experienced AI Engineering Lead to drive the design, development, and deployment of enterprise-grade AI and GenAI solutions. This role will lead a small but growing engineering team, work closely with data scientists, product managers, and business stakeholders, and be responsible for scaling AI capabilities across the organization.

KEY RESPONSIBILITIES

• Lead the end-to-end development and deployment of AI/GenAI solutions, from proof-of-concept to enterprise-scale implementation.
• Build and manage a high-performing AI engineering team, providing technical leadership, mentorship, and best practices.
• Collaborate with business units to identify AI/ML opportunities and translate them into scalable technical solutions.
• Design system architecture to ensure solutions integrate seamlessly with existing enterprise IT and data infrastructure.
• Oversee model lifecycle management, including training, deployment, monitoring, and retraining.
• Drive adoption and change management by ensuring usability, performance, and business impact of AI solutions.
• Stay updated with emerging AI/ML and GenAI trends, tools, and frameworks, and apply them where relevant.