AI Advisory (Hi-Tech)

As part of the AI Business Advisory Team, you will be responsible for structuring high-value business problems and designing solutions for the Hi-Tech industry by integrating machine intelligence with rich domain experience. Your role will involve providing thought leadership to clients at the business head level, assisting in the development and implementation of AI/GenAI solutions, and promoting last-mile adoption. Additionally, you will participate in industry events, conferences, and webinars to showcase expertise and establish the company as a thought leader. - Structure high-value business problems and design solutions for the Hi-Tech industry - Provide thought leadership to clients at the business head level - Participate in industry events, conferences, and webinars to showcase expertise - Develop Proof of Concepts working with client stakeholders to map business pain points to AI needs - Manage client expectations and build strong relationships - Drive adoption of new and innovative AI solutions - Own end-to-end delivery of large & complex Analytics & AI-led transformation programs - At least 5 years of experience in the AI/ML industry in the Hi-Tech domain - Experience working with clients in Hi-Tech domains such as Networking, Semiconductors, Enterprise software, etc. - Strong analytical thinking and hands-on experience in analytics problem-solving - In-depth understanding of AI technologies including GenAI, machine learning, natural language processing, computer vision, and predictive analytics - Formal Degree/Certification in AI/ML is an added advantage - Experience with writing communications such as strategy papers or white papers - Participation in product management and marketing lifecycles - Excellent communication skills and ability to explain technical concepts clearly to different audiences - Experience with cloud-based development and deployment across AWS, GCP, or Azure - Experience in hiring and nurturing talent, growing them into market-facing specialists and consultants, and building a community of practice in AI.,