Chief Technology Innovation Director

20 hours ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Key Role: Chief Artificial Intelligence Officer

This role is a senior leadership position that oversees the development and implementation of artificial intelligence (AI) strategies across various business domains.

The ideal candidate will have extensive experience in AI, data science, or machine learning, with a proven track record of success in leadership roles.

Responsibilities include:

  • Strategic AI Vision and Roadmap: Develop a comprehensive AI roadmap that outlines short-term and long-term initiatives to drive business growth and efficiency.
  • AI Strategic Leadership: Drive AI strategy to align with the organization's broader transformation roadmap and business goals, defining overall AI growth strategy in conjunction with business leaders.
  • AI Product and Solution Development: Analyze emerging trends to create innovative AI products/accelerators, frameworks, and capabilities in key areas such as predictive analytics, natural language processing (NLP), computer vision, generative AI, agentic AI, and automation.
  • AI Strategy Consulting and Advisory: Lead customer discussions to understand their existing problem statements and business challenges and assess their existing AI maturity, define target AI reference architecture, use case discovery, business case, and implementation approach for AI initiatives.
  • AI Implementation: Oversee the implementation of AI projects for customers, including design and deployment of AI-powered solutions, including machine learning (ML), generative AI, computer vision, NLP, and automation.
  • AI Team Leadership and Talent Development: Build and lead cross-functional AI teams (data scientists, ML engineers, AI researchers, Gen AI developers, product managers, etc.), foster a culture of continuous learning, innovation, and collaboration.

Additional qualifications include:

  • Strong knowledge of AI frameworks, gen AI, cloud AI services, and big data technologies.
  • Good understanding of emerging technologies like gen AI, agentic AI, etc.
  • Experience in leading mid and large-scale AI transformations across domains such as manufacturing, healthcare, retail, etc.
  • Strong knowledge of AI ethics, governance, and regulatory considerations.
  • Excellent communication, leadership, and stakeholder management skills.

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