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

• AI Adoption Roadmap and business case documentation.
• Deployment of enterprise AI agent ecosystem across multiple functions.
• Annual productivity improvements and ROI from automation initiatives.
• Development of AI skillsets and culture across the organization.
  

Required Skills & Qualifications

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.
• Experience in building AI agents, LLM-based solutions, and orchestration platforms.
  

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 strong execution focus.