Director - AI Automation

Key Responsibilities

• AI Adoption & Strategy
• Define and execute the enterprise-wide AI and automation strategy aligned with Cyient's digital transformation goals.
• Partner with business units (Sales, HR, Finance, Engineering, Operations, IT) to identify high-impact AI opportunities.
• Establish an AI adoption roadmap, including short-term wins and long-term transformation initiatives.
• AI Agent Development
• Lead the design, development, and deployment of AI agents to automate knowledge-intensive and repetitive processes.
• Build custom AI agent ecosystems that integrate seamlessly with Cyient's existing systems and workflows.
• Evaluate emerging technologies, including multi-agent orchestration platforms, LLMs, and generative AI, for enterprise deployment.
• Automation Excellence
• Drive process re-engineering to maximize automation outcomes using AI, ML, and advanced analytics.
• Deliver measurable improvements in productivity, efficiency, quality, and customer experience through intelligent automation.
• Establish governance frameworks for AI-enabled automation, ensuring scalability, security, and compliance.
• Stakeholder Engagement
• Act as a trusted advisor to the executive leadership team on AI opportunities and risks.
• Foster a culture of AI awareness and adoption through structured communication and engagement.
• Lead change management initiatives to ensure seamless adoption of AI-driven automation solutions across all functions.
• AI Center of Excellence (CoE)
• Build and lead a high-performing AI Automation CoE within Cyient.
• Mentor teams in AI technologies, prompt engineering, ML model development, and AI agent orchestration.
• Establish partnerships with technology providers, startups, and academic institutions to accelerate AI innovation.
• Compliance, Risk & Ethics
• Ensure that AI deployments adhere to ethical standards, data privacy laws, and responsible AI practices.
• Establish guardrails for transparency, fairness, and accountability in AI-driven decisions.

Key Deliverables

Required Skills & Qualifications

Education

Experience

Technical Skills

Leadership Skills

Skills Required

Ml, Apis, process mining , Rpa, Ai, Nlp