Chief AI Architect

About The Role

We're looking for a Chief AI Architect to lead a project with an 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.

• 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
• Establish robust MLOps practices and CI/CD pipelines to ensure reliable, scalable, and observable AI systems in production
• Lead enterprise‑wide AI risk assessments, including model bias audits, explainability standards, and compliance reporting for regulators or clients

• 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 (Tensor Flow, 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
• Experience architecting and deploying Generative AI / LLM solutions (e.g., RAG systems, fine‑tuned models, agentic workflows) at enterprise scale
• Hands‑on experience with major cloud AI ecosystems (AWS Sage Maker, Azure AI, Google Vertex AI) and familiarity with multi‑cloud or hybrid deployment strategies
• Track record of building and mentoring high‑performing, cross‑disciplinary AI teams in matrixed or fast‑scaling organizations
• Familiarity with AI procurement and vendor evaluation — ability to assess build vs. buy decisions, negotiate with technology partners, and manage vendor SLAs
• Comfort operating in ambiguity — proven ability to set structure, prioritize competing opportunities, and deliver results without a fully‑defined playbook