Your Role:

- Vision & Strategy
- Define the AI platform’s scope, priorities, principles, and guardrails.
- Own the 6–12 month AI platform roadmap.
- Align AI initiatives with business goals and value drivers.
- Define where the organization should invest in AI and where to avoid duplication.

- Central AI Gateway Ownership

- Establish a single entry point for AI services, including LLMs, APIs, and agents.
- Enable plug-and-play integration with enterprise systems and data platforms.
- Standardize model access, prompt frameworks, and API consumption patterns.
- Ensure observability across usage, performance, cost, and latency.

- Governance & Adoption

- Define and enforce AI governance covering data privacy, security, compliance, and risk.
- Establish responsible-use guardrails for the platform.
- Track and report ROI, adoption, and business impact.
- Coordinate across Data & AI, IT/Platform, Security, and Legal teams.
- Promote a platform-first and reuse-first approach and prevent siloed AI development.

- AI Platform Enablement

- Translate ambiguous business problems into structured AI use cases and clear requirements.
- Define scalable AI workflows using shared platform capabilities.
- Enable product and delivery teams to build and scale AI solutions efficiently.
- Balance scalability, cost, performance, security, and business value.

- Business & Technology Impact

- Accelerate AI delivery through reusable components and platform capabilities.
- Reduce duplication and optimize AI model and infrastructure costs.
- Improve consistency and quality through standardized architecture, prompts, and data usage.
- Enable multiple teams to build AI solutions on a common enterprise foundation.

To Succeed, You Will Need:

- Master’s degree in Computer Science or equivalent.
- 8+ years of experience in AI, data platforms, enterprise technology, or related roles.
- Proven experience in platform ownership, product ownership, or technology leadership roles.
- Strong understanding of AI/ML architectures , including:




- LLMs
- RAG
- Embeddings
- Agent-based systems

- Strong experience with the Azure AI ecosystem , including Azure OpenAI, API Management, monitoring, identity, and access control.
- Solid knowledge of Databricks , including Delta Lake, MLflow, Workflows, and Unity Catalog.
- Strong understanding of API-first architecture and AI gateway design patterns .
- Familiarity with MLOps/LLMOps , including model lifecycle management, evaluation, and deployment pipelines.
- Strong knowledge of AI governance, data governance, security, privacy, and enterprise compliance .
- Experience with AI observability, cost management, performance optimization, and monitoring .
- Strong architectural thinking and ability to make trade-offs between scalability, cost, performance, security, and business value .
- Strong decision-making and prioritization skills, particularly in ambiguous environments.
- Ability to balance business/product priorities with technical constraints.
- Excellent cross-functional collaboration skills across international and multicultural teams.

Nice to Have -

- Exposure to the product development lifecycle.
- Experience working in Agile product teams such as Scrum or Kanban.
- Basic functional analysis skills, including use cases and UML.
- Experience with programming languages such as Python, Node.js, or TypeScript .

In return, we offer you:

- Plenty of opportunities to grow and develop.
- A culture known for respectful interaction, ethical behaviour and integrity.
- Potential to see your ideas realized and to make an impact.
- New challenges and new things to learn every day.
- Access to global job opportunities, as part of the Atlas Copco Group.
- An excellent remuneration package
- Support for maintaining a healthy work-life balance, including vacation, personal, and sick time.

Company: Atlas Copco Group

Functional area:

Information Technology

Location:

India

City:

Pune

In office/remote:

Hybrid

Brand:

Edwards

Company Name:

Edwards India Private Ltd

Date of Posting:

August 13, 2026

Apply for this position

📌 AI Platform Owner (India)
🏢 Atlas Copco Group
📍 India