Chief AI Officer (CAIO)

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Job Description: Chief AI Officer (CAIO)Location: Bengaluru
Reports to: Data and AI Head of PracticePosition OverviewA visionary Chief AI Officer (CAIO) to lead our organization's efforts in harnessing the power of Artificial Intelligence to drive innovation, efficiency, and competitive advantage. The CAIO will be responsible for developing and executing a comprehensive AI strategy, overseeing the design and deployment of AI solutions, and fostering a culture of data-driven decision-making. This role is critical in positioning the organization as a leader in AI-driven transformation within the industry.Key Responsibilities

AI Strategy Development

Define and lead the organization’s AI strategy, aligning it with business goals and growth opportunities.

Identify areas for AI implementation to create a competitive advantage and drive business innovation.

Leadership and Vision

Establish a long-term vision for the role of AI in the organization’s future.

Lead and mentor a multidisciplinary team of AI researchers, data scientists, engineers, and business analysts.

Program and Portfolio Oversight

Oversee the development and execution of AI initiatives across all business functions, ensuring they deliver measurable impact.

Drive large-scale AI programs, balancing experimentation with rapid deployment of proven solutions.

Collaboration and Stakeholder Engagement

Partner with C-level executives to embed AI capabilities across business processes and product/service offerings.

Act as a bridge between technical teams and non-technical stakeholders to ensure alignment and understanding.

Ethics, Governance, and Compliance

Establish AI governance frameworks to ensure ethical, transparent, and responsible use of AI.

Ensure compliance with legal, regulatory, and industry-specific requirements for AI and data usage.

Innovation and Market Leadership

Stay ahead of AI trends and emerging technologies to maintain the organization’s competitive edge.

Represent the organization at industry conferences, thought leadership events, and in media engagements.

Operational and Financial Stewardship

Optimize AI investments for maximum ROI, balancing innovation with cost-effectiveness.

Monitor and evaluate the performance of AI systems and ensure their scalability, efficiency, and reliability.Success Criteria

Demonstrable business impact from AI initiatives, including revenue growth, cost savings, and efficiency gains.

Establishment of the organization as an AI leader in its industry.

Successful integration of AI into key products, services, and business operations.

Positive feedback from internal stakeholders and external partners on AI initiatives.Preferred Qualifications

Education:

Master's or Ph.D. in AI, Computer Science, Data Science, or related fields. MBA is a plus.

Experience:

15+ years of experience in AI, data science, or related fields, with at least 5 years in senior leadership roles.

Proven track record of developing and scaling AI solutions in an enterprise environment.

Strong experience in bridging technical expertise with business strategy.

Technical Expertise:

Expertise in AI/ML algorithms, deep learning, natural language processing, computer vision, and predictive analytics.

Proficiency in cloud platforms (AWS, Azure, GCP) and AI/ML frameworks (TensorFlow, PyTorch, etc.).Key Attributes

Visionary leadership with the ability to anticipate industry trends and drive innovation.

Strong analytical and problem-solving skills with a focus on business outcomes.

Exceptional communication and stakeholder management skills.

Ethical decision-making and commitment to responsible AI.

Collaborative mindset with a knack for fostering a high-performing, innovative culture. 

Qualifications

o Master's or Ph.D. in AI, Computer Science, Data Science, or related fields. MBA is a plus.

Additional Information

• Experience: o 15+ years of experience in AI, data science, or related fields, with at least 5 years in senior leadership roles. o Proven track record of developing and scaling AI solutions in an enterprise environment. o Strong experience in bridging technical expertise with business strategy.