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10 - 20 years

10 - 14 Lacs

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Job Description

Service Delivery Head - Artificial Intelligence Job Details | our company

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Search by Keyword Search by Location Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Service Delivery Head - Artificial Intelligence Research and Development Atlas Copco (India) Private Ltd. Date of posting: Jul 17, 2025
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.

2. 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.

3. 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.

4. 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.
  • You have excellent communication skills, both verbal and written
  • You are entrepreneurial and are open to different cultures
  • You are customer focused, enthusiastic, and professional
  • You can work under time pressure to respect deadlines
  • You can integrate smoothly into the existing team and stimulate the knowledge sharing between your colleagues
  • You can collaborate easily with colleagues from other business functions in the Global IT Hub and GECIA
  • You also maintain good relations with third parties.
In return, we offer
  • An opportunity to shape the future of AI in a global organization. This is a strategic role focused on defining the roadmap for the artificial intelligence competence and achieving it.
  • Collaborative and inclusive work environment
  • Global exposure and opportunities
  • This role is ideal for you, if you wish to challenge yourself on the technological front and creating a competence centre for AI
  • This role gives you enough opportunities to build your professional network among technical fraternity within the group
  • This role also expects you to build a very strong network of local ecosystem and bring the benefits for Atlas Copco
Job location

Hybrid
This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on-site in Pune.

Contact information

Talent Acquisition Team: Shreya Pore

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