Director - AI Automation
- Cyient
- 14 - 20 years
- Hyderabad
- 5 months ago
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Job Description
Key Responsibilities 1. AI Adoption & Strategy-
Define and execute the enterprise-wide AI and automation strategy aligned with Cyients digital transformation goals.
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Partner with business units (Sales, HR, Finance, Engineering, Operations, IT) to identify high-impact AI opportunities.
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Establish an AI adoption roadmap, including short-term wins and long-term transformation initiatives.
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Lead the design, development, and deployment of AI agents to automate knowledge-intensive and repetitive processes.
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Build custom AI agent ecosystems that integrate seamlessly with Cyients existing systems and workflows.
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Evaluate emerging technologies, including multi-agent orchestration platforms, LLMs, and generative AI, for enterprise deployment.
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Drive process re-engineering to maximize automation outcomes using AI, ML, and advanced analytics.
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Deliver measurable improvements in productivity, efficiency, quality, and customer experience through intelligent automation.
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Establish governance frameworks for AI-enabled automation, ensuring scalability, security, and compliance.
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Act as a trusted advisor to the executive leadership team on AI opportunities and risks.
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Foster a culture of AI awareness and adoption through structured communication and engagement.
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Lead change management initiatives to ensure seamless adoption of AI-driven automation solutions across all functions.
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Build and lead a high-performing AI Automation CoE within Cyient.
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Mentor teams in AI technologies, prompt engineering, ML model development, and AI agent orchestration.
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Establish partnerships with technology providers, startups, and academic institutions to accelerate AI innovation.
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Ensure that AI deployments adhere to ethical standards, data privacy laws, and responsible AI practices.
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Establish guardrails for transparency, fairness, and accountability in AI-driven decisions.
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AI Adoption Roadmap and business case documentation.
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Deployment of enterprise AI agent ecosystem across multiple functions.
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Annual productivity improvements and ROI from automation initiatives.
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Development of AI skillsets and culture across the organization.
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Bachelors degree in Computer Science, Engineering, or related field (Masters preferred).
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Certifications in AI/ML, Data Science, or Automation will be an advantage.
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15+ years of experience in technology leadership roles, with at least 7 years in AI/ML and Intelligent Automation.
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Proven track record in deploying AI/automation solutions at scale across global enterprises.
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Experience in building AI agents, LLM-based solutions, and orchestration platforms.
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Deep expertise in AI/ML, NLP, GenAI (LLMs), RPA, Process Mining, and intelligent automation.
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Familiarity with cloud AI platforms (Azure AI, AWS SageMaker, GCP AI), orchestration tools, APIs, and data pipelines.
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Strong understanding of data architecture, security, and compliance in AI systems.
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Exceptional stakeholder management, communication, and influencing skills.
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Ability to lead cross-functional, multi-geography teams and drive complex transformation initiatives.
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Strategic thinker with strong execution focus.
Roles and Responsibilities
The Director AI Automation will lead Cyients 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 organizations core functions. This is a leadership role requiring strong expertise in AI, automation, intelligent agents, change management, and stakeholder engagement.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Strategic & Top ManagementRole Category: Top ManagementRole: CTOEmployement Type: Full timeContact Details:
Company: CyientLocation(s): Hyderabad
Keyskills: rpa natural language processing aws sagemaker aiml data architecture machine learning artificial intelligence intelligent change management sales security system automation operations stakeholder management gcp process mining influencing ml communication skills
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