Chief AI Officer-Professional Servies

5 days ago

bangalore district, India Zenshastra Full time

Chief AI Officer-Professional Servies

Location: Bengaluru

EXPERIENCE: 12 to 15 years

…………………………………………………………………………………………………………………….

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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