
Chief AI Officer-Professional Servies
1 week ago
Chief AI Officer-Professional Servies
Location: Bengaluru
EXPERIENCE: 12 to 15 years
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Technical & AI Expertise
- Deep understanding of AI/ML technologies: machine learning, NLP, computer vision, generative AI, reinforcement learning.
- Familiarity with MLOps, data engineering, and cloud platforms (AWS, Azure, GCP).
- Ability to evaluate emerging AI trends (e.g., RAG, agentic AI, multimodal models) and decide which are worth productizing.
Strategic Vision & Business Acumen
- Translate AI capabilities into business value and revenue models.
- Identify new value streams (AI-driven products, automation, personalization).
- Anticipate market shifts and align AI strategy with long-term corporate goals.
Leadership & Change Management
- Build and lead multidisciplinary teams (data scientists, engineers, ethicists, domain experts).
- Drive culture change toward an AI-first mindset across the organization.
- Communicate AI’s value clearly to executives, boards, investors, and non-technical stakeholders.
Ethics, Governance & Risk Management
- Establish frameworks for responsible AI: fairness, transparency, explainability.
- Ensure compliance with global regulations (EU AI Act, India DPDP Act, U.S. AI EO).
- Balance innovation with risk mitigation (bias, security, privacy).
Data & Infrastructure Mastery
- Strong grasp of data governance, quality, and lifecycle management.
- Ensure AI systems are built on robust, secure, and scalable data pipelines.
- Oversee integration of AI into enterprise systems without disrupting operations.
Innovation & Foresight
- Act as an innovation orchestrator — using AI to amplify human creativity and strategic foresight.
- Spot white-space opportunities where AI can create entirely new products or markets.
- Foster a culture of rapid prototyping and experimentation.
Education Qualification
A bachelor’s degree in computer science, data science, artificial intelligence, or a related field is required. A master’s degree or Ph.D. in AI, machine learning, or data science is considered beneficial.
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