Head of Artificial Intelligence

Job Description :

Key Responsibilities :

- Define and own the companys AI vision, roadmap, and long-term strategy. Lead end-to-end AI initiatives from ideation to implementation and scaling.

- Drive the adoption of AI technologies across business units to enhance operational efficiency and customer experience.

- Stay ahead of AI trends, emerging technologies, and industry best practices to ensure continuous innovation.

- Oversee architecture, design, and deployment of AI/ML, deep learning, NLP, GenAI, and computer vision solutions.

- Ensure development of scalable, secure, and production-grade AI systems.

- Review technical designs, code, and architecture to ensure high-quality standards.

- Guide teams in model selection, experimentation frameworks, MLOps, and performance optimization.

- Lead, mentor, and grow a high-performing team of ML Engineers, Data Scientists, MLOps Engineers, and AI Researchers.

- Build a culture of innovation, experimentation, and accountability within the AI team.

- Manage resource planning, competency development, and project execution.

- Work closely with Product, Engineering, Data, Cloud, and Business teams to ensure alignment of AI initiatives with organizational objectives.

- Translate complex AI capabilities into business use cases and measurable outcomes.

- Provide thought leadership to executive stakeholders, influencing data-driven decisions.

- Establish AI governance frameworks, ethical AI guidelines, and responsible AI best practices.

- Ensure compliance with privacy, security, and regulatory requirements (GDPR, HIPAA, etc.).

- Oversee model monitoring, drift detection, retraining pipelines, and audit processes.

- Drive research initiatives in LLMs, agentic AI, reinforcement learning, multimodal models, and emerging AI technologies.

- Lead POCs and experimentation to evaluate feasibility of new AI use cases.

Qualifications & Skills :

- 12- 15 years of overall experience with at least 8+ years in AI/ML leadership roles.

- Advanced proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and LLM technologies.

- Expertise in designing and scaling AI systems on cloud platforms (AWS, Azure, GCP).

- Strong understanding of MLOps, CI/CD for ML, data pipelines, and model lifecycle management.

- Experience building AI products, recommendation engines, predictive models, GenAI applications, and intelligent automation solutions.

- Deep understanding of data engineering, distributed computing, and big data technologies (Spark, Kafka, Databricks).

- Exceptional communication, stakeholder management, and strategic leadership skills.

- Strong problem-solving mindset with the ability to convert business challenges into AI opportunities.

Preferred Qualifications :

- Masters or PhD in Computer Science, AI/ML, Data Science, or related field.

- Experience working in product-based or large-scale enterprise environments. Publications, patents, or open-source contributions in AI/ML.