In this role, you will lead the design, operationalization, and scaling of intelligent systems—from LLM-powered solutions to autonomous AI agents—driving innovation across multiple industries.

This position is ideal for a visionary architect with a passion for pushing AI boundaries and transforming cutting-edge research into production-ready systems. You will play a strategic leadership role, working closely with global teams to deliver advanced AI solutions that meet enterprise demands for scalability, security, and performance.

If you have:

• Bachelor’s/Master’s in Computer Science, Data Engineering, AI/ML, or related field
• 10+ years of AI/ML engineering experience, including 5+ years in MLOps
• Proven experience with LLM platforms and GenAI ecosystems (e.g., OpenAI, Anthropic)
• Strong proficiency in Python, Py Torch, Tensor Flow, and SQL

It would be nice if you also had:

• Experience with Ab-initio data management platform
• Familiarity with telecom data products and autonomous networks use cases
• Knowledge of vector databases and retrieval-augmented generation (RAG)
• Contributions to open-source AI/ML or GenAI frameworks

• Lead the design and scaling of advanced AI solutions, focusing on LLM-powered systems and autonomous agents.
• Build and optimize end-to-end ML pipelines, implementing MLOps best practices for model deployment and monitoring.
• Develop and operationalize generative AI solutions, including fine-tuning, prompt engineering, and RAG pipelines.
• Integrate autonomous decision-making frameworks with existing AI/ML systems for enhanced workflow orchestration.
• Collaborate with cross-functional global teams to translate AI/ML use cases into production-ready systems.
• Manage cloud-native AI/ML infrastructure, ensuring functionality across multi-cloud/hybrid environments.
• Ensure observability and governance for AI systems, focusing on compliance, fairness, and model drift.
• Support Po Cs, customer pilots, and production rollouts while creating accelerators for faster time-to-market.