We are seeking a visionary and experienced Director AI Engineering to lead the development and deployment of scalable, production-grade AI solutions that drive analytics, automation, and intelligent decision-making across the organization.

This leadership role will oversee a team of AI engineers and collaborate cross-functionally to architect and implement cutting-edge machine learning, generative AI, and data-driven systems that power our enterprise platforms.

Key Responsibilities :

Strategic Leadership & Vision :

- Define and drive the AI engineering strategy aligned with organizational goals.

- Lead the roadmap for AI initiatives, ensuring alignment with business priorities and technology trends.

- Evangelize AI capabilities across the organization and foster a culture of innovation and experimentation.

Team Management & Mentorship :

- Build, lead, and mentor a high-performing team of AI engineers and researchers.

- Establish best practices for model development and lifecycle management.

- Promote continuous learning and professional development within the team.

AI Architecture & Model Development :

- Oversee the design, training, and deployment of machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.

- Guide the implementation and fine-tuning of large language models (LLMs) using tools like LangChain, RAG, and vector databases.

- Ensure scalability, performance, and reliability of AI systems in production environments.

Cross-Functional Collaboration :

- Partner with data engineering, product, and business teams to integrate AI solutions into enterprise applications and workflows.

- Drive the development of APIs and microservices for seamless AI integration.

Governance, Ethics & Compliance :

- Champion responsible AI practices, ensuring compliance with enterprise security, data governance, and ethical standards.

- Establish frameworks for model monitoring, retraining, and performance optimization.

Skills & Qualifications :

- 15+ years of experience in AI/ML engineering, with at least 3-5 years in a leadership role.

- Proven track record of delivering enterprise-grade AI solutions at scale.

- Deep expertise in Python and AI frameworks (TensorFlow, PyTorch).

- Strong understanding of LLMs, NLP, computer vision, and generative AI technologies.

- Experience with cloud platforms (AWS, Azure, GCP) and containerization tools.

- Excellent communication, stakeholder management, and strategic thinking skills.

Preferred Experience :

- Experience in educational technology or enterprise data environments.

- Familiarity with integrating AI into transactional systems and data warehouses.

- Knowledge of data governance framework