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.
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
- 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
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
- 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
