Chief AI Officer

Roles & Responsibilities :

Bosch Software and Digital Solutions is a leading systems integrator and solution provider for technology led business transformation. It is the systems integration arm of Bosch Global and is headquartered in Bangalore.

The Chief AI Officer (CAIO) will be responsible for developing and articulating a clear AI vision for SDS and overseeing, implementing and governing SDS’ AI strategy that aligns with business goals.

The CAIO will also oversee the development of innovative AI and Gen AI solutions/offerings for further transforming SDS’s offerings portfolio and to support SDS customers with their AI journeys. The CAIO will lead Bosch SDS’s AI-first approach and align SDS’ portfolio offerings to the rapidly evolving needs of our customers.

Key Responsibilities:

1. Strategic AI Vision and Roadmap

· Develops and articulate a clear AI vision that aligns with SDS’s short, medium and long-term goals.

· Creates an AI roadmap that outlines short-term and long-term initiatives.

· Identifies vital areas where AI can drive business growth and efficiency.

2. AI Strategic Leadership

· Develop and drive SDS’ AI strategy to align with organization's broader transformation roadmap and business goals.

· Define overall AI GTM and growth strategy in conjunction with business leaders.

3. AI Product and Solution Development

· Analyze emerging trends to create AI products/accelerators, frameworks and capabilities in key areas such as predictive analytics, NLP, Computer vision, generative AI, agentic AI, and automation.

· Define guidelines for AI model development for customers, ensuring ethical, transparent, and responsible AI Use

· Conceptualize the blueprint of asset to-be developed and collaborate with technical team to execute and implement the same.

· Co-lead initiatives like hackathons, workshops, and other events to encourage innovation and cross sharing of ideas.

4. 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.

· Define consulting approach and frameworks and develop AI Consulting proposals, bid defense, and help in acquisition.

· Manage/Lead AI consulting engagement to define AI strategy, roadmap, and execution plans aligned with business objectives.

5. AI Implementation

· Oversee the implementation of AI projects for customers, which includes Design and deployment of AI-powered solutions, including machine learning (ML), generative AI, computer vision, NLP, and generative AI solutions for customers.

· Identify emerging AI trends and technologies to create competitive, scalable offerings.

· Leverage the existing code base/solutions to ideate and create re-usable assets/IPs.

6. 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.

· Establish AI training and upskilling programs for employees.

Qualifications

1. Qualifications & Experience:

· Bachelor’s degree in computer science or engineering. Good to have master’s degree/Post-graduate in IT, AI, Data Science, or related fields.

· 15+ years of experience in AI, data science, or machine learning, with a proven track record in leadership roles

· 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

2. Key Competencies and Skills:

· Deep understanding of AI technologies, including NLP, Computer Vision, and Generative AI

· Strategic thinking and strong skills across leadership, collaboration and stakeholder management

· Ability to drive cross-functional teams towards AI innovation, deal closures and successful project delivery.

Additional Information

KPIs and Success Criterion:

· AI-driven revenue generation and cost optimization

· Growth of AI portfolio in Bosch SDS, along with opportunity pipeline and AI Adoption across customers

· Growth of AI team, employee engagement and retention

· AI project delivery success rates and business outcomes/customer feedback

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