Evangelist

Experience 14 20 Yrs

Location Pune

CTC will discuss

Work mode WFO

Notice period 0 25 Days

Job Summary:

We are looking for an AI Evangelist with deep expertise in artificial intelligence technologies and a passion for automotive innovation to join our automotive software company. The ideal candidate will advocate for the use of AI to transform the future of mobility from autonomous driving systems and advanced driverassistance systems (ADAS) to invehicle AI applications. As an AI Evangelist you will drive awareness and adoption of AI in automotive software educating internal teams and external partners about its potential to revolutionize the industry. You will also serve as a bridge between our AI development teams and the broader automotive community ensuring that AI is integrated responsibly and effectively into automotive technologies.

Responsibilities:

1. AI Advocacy and Thought Leadership:

Champion the use of AI in automotive applications such as autonomous driving predictive maintenance and smart vehicle solutions.

Represent the company at industry conferences webinars and events sharing insights on the role of AI in automotive software development.

Create and publish thought leadership content (e.g. blogs whitepapers articles) that highlights the benefits and potential of AI within the automotive industry with a focus on safety efficiency and innovation.

2. Education and Training:

Develop and deliver educational sessions workshops and materials to internal teams clients and stakeholders about AIs role in automotive software covering topics like computer vision deep learning sensor fusion and realtime decisionmaking in vehicles.

Simplify and explain complex AI technologies such as ADAS neural networks and machine learning models for a nontechnical automotive audience.

Collaborate with Functional teams to create AIrelated training programs for employees focusing on the automotive sectors unique challenges and opportunities.

3. Community Engagement:

Build and nurture relationships with AI and automotive communities including universities industry forums and professional organizations to promote collaboration and knowledge sharing.

Organize and participate in automotive AI meetups hackathons and industry events to foster engagement with developers data scientists and automotive engineers.

Serve as the primary contact for AIrelated inquiries within the automotive ecosystem both internally and externally.

4. Consultation and AI Integration:

Collaborate with automotive software development teams and business leaders to identify AI opportunities and guide the integration of AI into key automotive systems such as autonomous driving platforms driver monitoring systems and vehicletoeverything (V2X) communication.

Work closely with technical teams (data scientists AI engineers) to align AI projects with business objectives ensuring that AIdriven solutions are safe scalable and meet industry standards.

Provide strategic input on the deployment of AI models and ensure they meet automotive industry safety and performance regulations.

5. Ethics and AI Governance in Automotive:

Promote the responsible use of AI in automotive applications advocating for transparency safety and privacy in AIdriven systems particularly in safetycritical features like autonomous driving.

Stay informed on the latest regulations ethical considerations and safety standards in the automotive industry and AI governance ensuring that the companys AI solutions comply with industry standards such as ISO 26262.

Lead discussions on the ethical challenges of using AI in vehicles including concerns around data privacy decisionmaking in critical scenarios and liability in autonomous driving systems.

6. Market Research and Trend Analysis:

Stay up to date on the latest AI developments specific to the automotive industry such as advancements in sensor technology realtime data processing and autonomous vehicle testing.

Provide insights to internal teams on how AI can be used to improve vehicle performance safety and customer experience.

Conduct market research on AI adoption trends within the automotive sector and recommend opportunities for AIbased innovations within the companys product roadmap.

Team Management Responsibilities:

• Team Management: Lead a team of engineers providing mentorship and guidance.
• Proven track record of thought leadership and evangelism in AI or a related domain
• Individual Contribution: Balance leadership with handson development.

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