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Artificial Intelligence Intern (Zirakpur)

1.00 to 10.00 Years   Mohali   28 Jul, 2026
ELKOS HEALTHCARE
Job LocationMohali
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Artificial Intelligence Executive Job Description This job description outlines the responsibilities, qualifications, and requirements for the role of Artificial Intelligence Executive (also referred to as Chief AI Officer (CAIO) or VP of AI Strategy). Overview The Artificial Intelligence Executive is a senior leadership role responsible for defining, driving, and executing the companys overarching Artificial Intelligence (AI) strategy and roadmap. This executive will lead all aspects of AI integration across the business, ensuring that AI initiatives align with corporate goals, drive innovation, enhance operational efficiency, and establish a competitive advantage. Key Responsibilities - Strategy and Vision: Develop and communicate a explicit, compelling, and long-term AI strategy, vision, and roadmap that supports business growth, market positioning, and digital transformation. - Executive Leadership: Act as the internal and external champion for AI, educating the executive team, board of directors, and stakeholders on the potential and implications of AI technologies. - P&L; Management: Oversee the budget and financial planning for all AI-related initiatives, ensuring a high return on investment (ROI) and cost-effective deployment of resources. - Cross-Functional Integration: Partner with C-level executives (CTO, CIO, COO, CMO) to identify and prioritize AI opportunities across all business functions (e.g., product development, operations, customer service, marketing, finance). - Team Leadership: Build, mentor, and lead a high-performing team of AI researchers, data scientists, machine learning engineers, and data analysts. - Governance and Ethics: Establish and enforce robust AI governance policies, ethical guidelines, and compliance frameworks to ensure responsible, fair, transparent, and regulatory-compliant AI development and deployment. - Technology Oversight: Evaluate and select appropriate AI/ML platforms, tools, and vendor partnerships (e.g., cloud servi .

Keyskills :
Artificial IntelligenceLeadershipFinancial planningTeam leadershipGovernanceEthicsTechnology evaluationAI strategy

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