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.

Uniting curious minds
Behind every cutting-edge solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.

📌 AI Platform Owner (India)
🏢 Recognized
📍 India