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.