Chief AI Officer (CAIO)

Develop and execute RChilli s AI strategy aligned with business goals. Ensure ethical AI implementation and compliance with industry regulations. Be a change leader in adopting AI across the company. AI-Driven Product Innovation Lead AI research & development for NLP, machine learning, and predictive analytics. Implement AI for automated job descriptions, resume scoring, and candidate recommendations. Oversee AI-powered chatbots, workforce planning, and predictive retention models. Identify opportunities for AI implementation, including: Automated calls for candidate screening, interview scheduling, and feedback collection. AI-powered report generation for HR analytics, performance tracking, and compliance. AI-based note-taking and meeting summarization for enhanced productivity. Technology & Infrastructure Define and implement a scalable AI roadmap. Manage AI infrastructure, data lakes, ETL processes, and automation. Oversee data lakes and ETL tools such as Airflow and NiFi for efficient data management. Ensure robust data engineering and analysis frameworks. Generative AI, Conversational AI & Transformative AI Apply Generative AI for automating job descriptions, resume parsing, and intelligent recommendations. Leverage Conversational AI for chatbots, virtual assistants, and AI-driven HR queries. Utilize Transformative AI for workforce planning, sentiment analysis, and predictive retention models. Tool Identification & Implementation Identify business requirements and assess third-party AI tools available in the market. Implement and integrate AI tools to enhance operations and optimize business processes. Business Integration & Operations Collaborate with cross-functional teams to integrate AI into HRTech solutions. Understand and optimize business processes for AI adoption. Align AI-driven processes with business efficiency and customer needs. Leadership & Talent Development Build and mentor an AI team, fostering a culture of innovation. Promote AI literacy across the organization. Industry Thought Leadership Represent RChilli in AI forums, conferences, and industry partnerships. Stay ahead of AI trends and HRTech advancements. Required Skills & Qualifications: Technical Skills: Master s/Ph.D. in Computer Science, AI, Data Science, or related field. 10+ years of experience in AI/ML, with 5+ years in leadership roles. Expertise in NLP, machine learning, deep learning, and predictive analytics. Experience in AI ethics, governance, and compliance frameworks. Strong proficiency in AI infrastructure, data engineering, and automation tools. Understanding of data lakes, ETL processes, Airflow, and NiFi tools. Clear concepts in data engineering and analysis. Leadership & Business Skills: Strategic thinker with the ability to align AI innovation with business goals. Excellent communication and stakeholder management skills. Experience in building and leading AI teams.