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