Director - AI Automation

Role Overview: As an experienced AI and Automation Strategist at Cyient, your role involves defining and executing enterprise-wide AI and automation strategies that align with the company's digital transformation goals. You will collaborate with various business units to identify high-impact AI opportunities and establish an AI adoption roadmap for both short-term wins and long-term transformation initiatives. Your responsibilities also include leading the design, development, and deployment of AI agents to automate knowledge-intensive and repetitive processes, as well as driving process re-engineering to maximize automation outcomes using AI, ML, and advanced analytics. Additionally, you will act as a trusted advisor to the executive leadership team, foster a culture of AI awareness and adoption, and lead a high-performing AI Automation Center of Excellence (CoE) within Cyient. Key Responsibilities: - Define and execute enterprise-wide AI and automation strategy aligned with digital transformation goals. - Partner with business units to identify high-impact AI opportunities. - Establish an AI adoption roadmap with short-term wins and long-term transformation initiatives. - Lead the design, development, and deployment of AI agents for automation. - Drive process re-engineering to maximize automation outcomes using AI, ML, and advanced analytics. - Act as a trusted advisor to the executive leadership team on AI opportunities and risks. - Build and lead a high-performing AI Automation CoE within Cyient. - Ensure AI deployments adhere to ethical standards, data privacy laws, and responsible AI practices. Qualifications Required: - Education: Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred). Certifications in AI/ML, Data Science, or Automation will be an advantage. - Experience: 15+ years of experience in technology leadership roles, with at least 7 years in AI/ML and Intelligent Automation. Proven track record in deploying AI/automation solutions at scale across global enterprises. - Technical Skills: Deep expertise in AI/ML, NLP, GenAI (LLMs), RPA, Process Mining, and intelligent automation. Familiarity with cloud AI platforms (Azure AI, AWS SageMaker, GCP AI), orchestration tools, APIs, and data pipelines. Strong understanding of data architecture, security, and compliance in AI systems. - Leadership Skills: Exceptional stakeholder management, communication, and influencing skills. Ability to lead cross-functional, multi-geography teams and drive complex transformation initiatives. Strategic thinker with a strong execution focus.,