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▷ [Apply Now] Chief AI Officer-Professional Servies
ZenshastraBengaluru, Karnataka, India4 hours ago
Job descriptionTranslate 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. 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. 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). 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. 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.
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
Leadership & Change Management
Ethics, Governance & Risk Management
Data & Infrastructure Mastery
Innovation & Foresight
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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