### **About The Role** We’re looking for a **Chief AI Architect** to lead the organization’s overall AI vision, strategy, and execution, ensuring alignment with business objectives and long\-term growth goals. You’ll act as the principal architect and implementer of AI solutions — from design and prototyping to large\-scale deployment across business functions. This is a senior, high\-impact role for someone who combines deep technical acumen with strategic leadership and hands\-on delivery. **What You'll Do** * Collaborate with executive leadership to identify high\-impact AI opportunities that drive operational efficiency, innovation, and revenue growth. * Build and lead a cross\-functional AI Center of Excellence, bringing together data scientists, engineers, and domain experts to deliver enterprise\-grade AI solutions. * Champion the use of Generative AI, Machine Learning, NLP, and advanced analytics to enhance products, services, and internal processes. * Oversee the development and governance of data infrastructure, ensuring data quality, accessibility, and compliance with privacy and security standards. * Establish and enforce AI ethics, risk management, and responsible AI practices within the organization. * Develop strategic partnerships with technology providers, academic institutions, and research organizations to accelerate AI innovation. * Serve as a technical advisor to leadership, translating complex AI concepts into actionable insights and business value. * Stay ahead of emerging technologies and lead hands\-on experimentation, prototyping, and technical evaluations of new AI tools and models. **Requirements** * 15\+ years of experience in Digital Technology, with at least 4 years in AI/ML leadership roles across implementation, research, or product environments. * Proven track record of end\-to\-end delivery of AI systems, from conceptualization to production — including model development, MLOps, and integration. * Demonstrated experience translating AI strategy into business impact, with measurable ROI and operational outcomes. * Deep technical expertise in machine learning, deep learning frameworks (TensorFlow, PyTorch), large language models, and cloud AI platforms. * Strong background in data engineering, including data pipelines, architecture, and governance frameworks. * Strong software engineering background, capable of guiding teams through architectural decisions, code reviews, and deployment processes. * Excellent understanding of AI ethics, data privacy, and regulatory frameworks (GDPR, Responsible AI guidelines, etc.). * Exceptional leadership and communication skills — able to engage with both technical teams and non\-technical executives. * Entrepreneurial mindset with the ability to innovate, experiment, and deliver in fast\-moving environments.