Chief AI Officer
Chief AI Officer
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Job Description
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 SDSs offerings portfolio and to support SDS customers with their AI journeys. The CAIO will lead Bosch SDSs AIfirst 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 SDSs short medium and longterm goals.
Creates an AI roadmap that outlines shortterm and longterm 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 organizations 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 tobe developed and collaborate with technical team to execute and implement the same.
Colead 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 AIpowered 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 reusable assets/IPs.
6. AI Team leadership and Talent Development
Build and Lead crossfunctional 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:
Bachelors degree in computer science or engineering. Good to have masters degree/Postgraduate 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 largescale 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 crossfunctional teams towards AI innovation deal closures and successful project delivery.
Additional Information :
KPIs and Success Criterion:
AIdriven 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
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
