AI Evangelist

We are seeking an energetic and visionary AI Evangelist to drive our organization's AI innovation strategy. You will sit at the intersection of business strategy and cutting-edge artificial intelligence. Your mission is to inspire teams to adopt AI methodologies, upskill our workforce, build working prototypes, and translate complex machine learning/GenAI concepts into tangible, measurable business gains.

The core responsibilities for the job include the following:

Thought Leadership and Advocacy:

• Serve as the primary advocate for AI-driven transformation, engaging with stakeholders from the front line to the executive level.
• Translate complex AI and GenAI concepts (like RAG, Agentic patterns, and prompt engineering) into clear, compelling business language.
• Represent the company at industry conferences, meetups, and on social platforms (LinkedIn, X, etc. ).

Workforce Upskilling and Culture:

• Foster a strong "AI-first" culture across the company.
• Design, develop, and deliver AI awareness sessions, executive briefings, and hands-on workshops (e. g., human-AI collaboration, AI tooling).
• Operate an internal AI helpdesk or community to support employees in their day-to-day work with AI tools.

Business Value and Use Case Identification:

• Identify and prioritize high-value AI use cases across business units (e. g., Marketing, Finance, HR, Operations, Engineering).
• Guide initiatives from concept to Minimum Viable Product (MVP) and build the business case for further development (ROI and scalability analysis).

Community Building and Ecosystem Engagement:

• Organize internal and external tech events, hackathons, and community meetups.
• Gather market intelligence by staying on the pulse of the rapidly evolving AI landscape and ecosystem.

Requirements:

• Experience: 8-12 years in technology, consulting, product marketing, or digital transformation, with at least 4 years specifically focused on AI/ML or intelligent automation.
• Technical Depth: Familiarity with modern AI tooling, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), prompt engineering, and agentic AI frameworks.
• Storytelling and Communication: Exceptional presentation, writing, and public speaking skills with the ability to explain highly complex technology to non-technical audiences.
• Facilitation Skills: Proven track record of leading discovery workshops, ideation sessions, and aligning cross-functional teams.
• Education: Bachelor's degree in Computer Science, Data Science, Business, Marketing, or a related field; an MBA or advanced degree in Statistics/Data Science is preferred.

Skills

AI, LLM, LLMs, ML, RAG, artificial intelligence, automation, large language models, machine learning, retrieval-augmented generation