Director - AI Automation

3 days ago


Hyderabad, Telangana, India Cyient Full time US$ 1,50,000 - US$ 2,00,000 per year

Key Responsibilities 1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

Roles and Responsibilities

The Director – AI Automation will lead Cyient's enterprise-wide AI and automation strategy. This role is responsible for conceptualizing, architecting, and delivering AI-driven automation solutions to transform business processes, enhance productivity, and enable data-driven decision-making. The position will involve building and scaling AI agents tailored to business requirements, working closely with cross-functional teams, and embedding AI capabilities into the organization's core functions. This is a leadership role requiring strong expertise in AI, automation, intelligent agents, change management, and stakeholder engagement.



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