Posted:2 months ago|
Platform:
Work from Office
Full Time
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Cyient
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