Job Description

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.

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.

Nice to Have

Experience in large-scale enterprise environments. Exposure to GenAI applications (LLMs, multimodal models, prompt engineering). * Familiarity with data governance, security, and compliance in AI.