Location
Nairobi•Kenya
Contract Type
DigitalQatalyst is seeking an experienced and innovative AI Lead to drive the design, development, deployment, and adoption of Artificial Intelligence solutions across the organization. The successful candidate will own the AI strategy, lead intelligent systems initiatives, establish best practices for AI governance and MLOps, and drive measurable business impact through automation and advanced analytics.
This role requires a blend of technical expertise, strategic thinking, and leadership capability to build scalable AI solutions and foster AI adoption across teams.
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Selected articles on cover letters, CV structure, and interview preparation.
Responsibilities:
Define and own the organization's AI strategy, architecture, and capability roadmap.
Design, develop, deploy, and optimize Machine Learning (ML), Large Language Model (LLM), and Generative AI solutions.
Lead the integration of AI capabilities into products, business systems, and operational workflows.
Identify automation opportunities and drive intelligent process transformation initiatives.
Establish and maintain MLOps practices, model monitoring frameworks, and AI governance standards.
Drive AI adoption, enablement, and capability development across business functions.
Collaborate with cross-functional stakeholders to translate business challenges into AI-driven solutions.
Develop documentation, frameworks, standards, and reusable AI assets to support scalability and continuity.
Evaluate emerging AI technologies and recommend innovations that align with organizational goals.
Ensure compliance with security, privacy, ethical AI, and governance requirements.
Minimum qualifications
Define and own the organization's AI strategy, architecture, and capability roadmap.
Design, develop, deploy, and optimize Machine Learning (ML), Large Language Model (LLM), and Generative AI solutions.
Lead the integration of AI capabilities into products, business systems, and operational workflows.
Identify automation opportunities and drive intelligent process transformation initiatives.
Establish and maintain MLOps practices, model monitoring frameworks, and AI governance standards.
Drive AI adoption, enablement, and capability development across business functions.
Collaborate with cross-functional stakeholders to translate business challenges into AI-driven solutions.
Develop documentation, frameworks, standards, and reusable AI assets to support scalability and continuity.
Evaluate emerging AI technologies and recommend innovations that align with organizational goals.
Ensure compliance with security, privacy, ethical AI, and governance requirements.
Requirements
Define and own the organization's AI strategy, architecture, and capability roadmap.
Design, develop, deploy, and optimize Machine Learning (ML), Large Language Model (LLM), and Generative AI solutions.
Lead the integration of AI capabilities into products, business systems, and operational workflows.
Identify automation opportunities and drive intelligent process transformation initiatives.
Establish and maintain MLOps practices, model monitoring frameworks, and AI governance standards.
Drive AI adoption, enablement, and capability development across business functions.
Collaborate with cross-functional stakeholders to translate business challenges into AI-driven solutions.
Develop documentation, frameworks, standards, and reusable AI assets to support scalability and continuity.
Evaluate emerging AI technologies and recommend innovations that align with organizational goals.
Ensure compliance with security, privacy, ethical AI, and governance requirements.
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