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Director of AI, Automation
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Job Description
Hi All
Greetings from Live Connections!
We have an urgent requirement on Director of AI, Automation role with one of our MNC based company in Pune Location. Please find the below job description and kindly share me your updated CV to [Confidential Information]
Position Title: Director of AI, Automation role
Experience Level: 18+ Years
Full Time
Location: Pune, MH
Required Skills:
- Proven experience leading large-scale technology, AI, automation, or digital transformation organizations.
- Bachelor's degree in computer science, Engineering, Data Science, Information Systems or a related field, or equivalent practical experience.
- 18+ years of progressive technology experience, including substantial leadership responsibility in enterprise AI, data science, intelligent automation, software engineering or digital transformation.
- 8+ years leading managers and multidisciplinary teams in a global delivery environment, preferably with India and U.S. stakeholders.
- Demonstrated success delivering a portfolio of enterprise solutions from discovery through production operations and adoption.
- Working depth across several of the following: machine learning, generative AI, agentic AI, RAG, enterprise search, MLOps/LLMOps, RPA, intelligent document processing, low-code, workflow and API-based integration.
- Experience with cloud-based AI and application platforms. Microsoft Azure ecosystem experience is strongly preferred.
- Strong command of architecture, secure software lifecycle, DevSecOps, testing, observability, production support, data protection and cost management practices.
- Experience establishing governance, quality controls and risk management for AI and automation solutions.
- Exceptional people leadership, executive communication, stakeholder management, prioritization, financial acumen and change leadership.
- Ability to work across time zones and travel periodically within India and internationally as business needs require.
Regards,
Sharmila
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More Info
Key Skills
agentic AI
API-based integration
quality controls
intelligent document processing
low-code workflow
AI automation
observability
LLMOps
generative AI
secure software lifecycle
cloud-based AI
RAG


