Head of AI

• Define and lead the organization's overall AI strategy, roadmap, and implementation plans in alignment with business goals.
• Lead, mentor, and manage multidisciplinary AI teams, including AI/ML Engineers, Generative AI Specialists, AI Automation Specialists, and AI Infrastructure Engineers.
• Oversee the design, development, deployment, and maintenance of AI and Machine Learning solutions.
• Drive the adoption and implementation of Generative AI technologies, including LLMs, RAG architectures, AI agents, and Agentic AI solutions.
• Identify business opportunities where AI can improve operational efficiency, automate processes, enhance customer experience, and generate business value.
• Oversee AI product development and ensure successful delivery of AI-driven solutions from concept to production.
• Establish best practices for MLOps, LLMOps, model deployment, monitoring, performance optimization, and scalability.
• Define AI governance frameworks, ensuring responsible AI practices, data privacy, security, compliance, and ethical AI implementation.
• Evaluate emerging AI technologies, tools, frameworks, and platforms to identify opportunities for innovation.
• Collaborate with executive management, business stakeholders, IT, Data, and Engineering teams to translate business requirements into AI solutions.
• Manage AI-related budgets, resources, vendors, and technology partnerships.
• Establish KPIs and performance metrics to measure AI initiatives' business impact and technical effectiveness.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Master's degree or PhD is highly preferred.
• 10+ years of experience in AI, Machine Learning, Data Science, or related technology fields.
• 5+ years of experience in technical leadership, AI management, or leading multidisciplinary technology teams.
• Proven experience developing and executing enterprise-level AI strategies and roadmaps.
• Strong understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision.
• Extensive knowledge of Generative AI technologies, including LLMs, RAG, Fine-tuning, Prompt Engineering, and Agentic AI.
• Experience overseeing the development and deployment of AI-powered applications and enterprise AI solutions.
• Strong understanding of AI frameworks and technologies such as TensorFlow, PyTorch, Hugging Face, LangChain, and LlamaIndex.
• Familiarity with cloud AI platforms such as AWS, Microsoft Azure, and Google Cloud.
• Strong knowledge of MLOps/LLMOps, AI infrastructure, model lifecycle management, and production deployment.
• Understanding of data architecture, data engineering, and enterprise data governance.
• Knowledge of AI security, responsible AI, data privacy, and regulatory compliance.
• Excellent leadership, strategic thinking, stakeholder management, and decision-making skills.
• Strong communication and presentation skills, with the ability to translate complex technical concepts into business value.

Preferred Qualifications

• Master's degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or a related discipline.
• Experience leading large-scale enterprise AI transformation initiatives.
• Experience building AI Centers of Excellence (CoE) or establishing AI departments from the ground up.
• Relevant certifications in AI, Machine Learning, or Cloud AI platforms.
• Experience working in enterprise environments, particularly in Banking, Financial Services, Telecommunications, or other highly regulated industries.