Service Delivery Head - Artificial Intelligence

10 - 15 years

20 - 25 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Your role People Leadership & Culture Building Lead, mentor, and grow a high-performing AI delivery team
  • Foster a culture of innovation, collaboration, and continuous learning
  • Drive employee engagement and career development through structured programs
  • Champion diversity, inclusion, and psychological safety within the team
  • Service Delivery & Operational Excellence Own end-to-end delivery of AI solutions across business units
  • Establish and monitor KPIs, SLAs, and quality benchmarks
  • Implement best practices in agile delivery, DevOps, and MLOps
  • Ensure scalability, reliability, and performance of AI services
  • Customer Focus & Stakeholder Management Act as the primary point of contact for internal and external stakeholders
  • Translate business needs into AI-driven solutions with measurable impact
  • Ensure high levels of customer satisfaction and proactive issue resolution
  • Collaborate with cross-functional teams to align delivery with strategic goals
  • Technical Leadership Stay abreast of emerging AI technologies and trends
  • Guide teams in the use of tools such as Python, TensorFlow, PyTorch, Azure ML, and LLM platforms
  • Oversee architecture decisions, model lifecycle management, and data governance
  • Promote experimentation and rapid prototyping to accelerate innovation
  • To succeed, you will need Experience Requirement: 10+ years of experience in AI leadership roles
  • Proven track record of managing team
  • Experience in building and scaling high-performing teams
  • Strong background in service delivery frameworks (ITIL, Agile, DevOps)
  • Experience in managing multi-location or global delivery teams
  • Demonstrated success in driving operational efficiency and excellence
  • Hands-on experience with AI/ML tools and platforms (e
  • g, Python, TensorFlow, PyTorch, Azure ML)
  • Experience with data engineering, model deployment, and MLOps
  • Familiarity with LLMs, generative AI, and prompt engineering
  • Experience with cloud-native architectures and microservices
  • Knowledge of compliance and data privacy regulations (GDPR, HIPAA)
  • Experience with enterprise AI platforms (e
  • g
  • , Databricks)
  • Knowledge of AI ethics, bias mitigation, and responsible AI practices
  • Leadership Traits: Experience in change management and organizational transformation
  • Exposure to leadership coaching or mentoring program You are passionate and have big picture vision for this role

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