Chief AI Architect

About The RoleWe’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 DoCollaborate 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.Qualifications15+ 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 SageMaker, 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.#J-18808-Ljbffr