Artificial Intelligence Lead

Role Overview

We are seeking an experienced Artificial Intelligence Lead to drive AI strategy, governance, and implementation initiatives across client organizations. This role will serve as a trusted advisor to business and technology leaders, helping define AI roadmaps, establish responsible AI practices, and lead the delivery of AI, Machine Learning, and Generative AI solutions that create measurable business value.

The ideal candidate combines strong consulting experience, AI domain expertise, stakeholder management capabilities, and a proven track record in delivering enterprise-scale AI initiatives.

Key Responsibilities

AI Strategy & Advisory

• Develop enterprise AI strategies aligned with business objectives and digital transformation initiatives.
• Assess organizational AI readiness, capabilities, and opportunities for adoption.
• Identify, prioritize, and evaluate AI and Generative AI use cases based on business value, feasibility, and strategic impact.
• Advise clients on AI operating models, organizational structures, governance approaches, and capability-building programs.
• Facilitate executive workshops and stakeholder discussions to drive AI adoption and innovation.

AI Governance & Responsible AI

• Design and implement AI governance frameworks, policies, standards, and operating procedures.
• Establish processes for AI risk management, model oversight, compliance, accountability, and performance monitoring.
• Develop responsible AI guidelines covering ethics, transparency, explainability, privacy, fairness, and security.
• Ensure AI initiatives align with applicable regulatory, legal, and industry requirements.
• Support the creation of AI governance councils, decision-making structures, and monitoring mechanisms.

AI Solution Design & Implementation

• Lead the design, implementation, and adoption of AI, Machine Learning, and Generative AI solutions.
• Collaborate with data engineers, data scientists, architects, and business stakeholders to deliver AI initiatives.
• Guide model development, deployment, monitoring, and lifecycle management activities.
• Evaluate AI platforms, tools, cloud services, and emerging technologies to address business requirements.
• Oversee pilot projects, proof-of-concepts, and enterprise-scale AI deployments.

Consulting & Client Engagement

• Serve as a trusted advisor to client executives and business leaders.
• Prepare assessments, recommendations, business cases, solution presentations, and proposals.
• Support business development efforts by identifying opportunities and contributing to pre-sales activities.
• Provide thought leadership on AI trends, governance, and industry best practices.
• Mentor and guide internal teams on AI methodologies, governance frameworks, and emerging technologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• At least 10 years of experience in technology consulting, data and analytics, artificial intelligence, or digital transformation initiatives.
• Proven experience developing AI strategies, governance frameworks, and enterprise AI roadmaps.
• Strong understanding of Machine Learning, Generative AI, Large Language Models (LLMs), and AI adoption frameworks.
• Experience delivering AI solutions in cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of AI governance, risk management, responsible AI, privacy, security, and regulatory considerations.
• Experience engaging with executive stakeholders and facilitating strategic discussions and workshops.
• Strong presentation, communication, stakeholder management, and consulting skills.
• Experience supporting business development, proposal development, and pre-sales engagements is highly preferred.