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

Brainlake

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Chief AI Architect