Description

Lead the design and implementation of advanced AI platforms and enterprise data systems.

This role is on-site.

Responsibilities

• Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.
• Build and integrate cloud-native data pipelines using Snowflake, Airflow, and Vertex AI.
• Implement retrieval-augmented generation (RAG) pipelines and multimodal data solutions.
• Drive automation, observability, and performance optimization across AI and data workflows.

Required Skills

• 10+ years of experience in enterprise data architecture or engineering with a hands-on focus on AI and cloud-native data platforms.
• Proven experience designing and optimizing large-scale AI systems, including LLM, GenAI, and Agentic AI applications.
• Expertise in Python, SQL, PySpark, Airflow, Snowflake, LangChain, and Hugging Face.
• Strong background in data modelling, distributed systems, and cloud architecture (AWS, GCP, or Azure).
• Experience developing and deploying AI/ML/GenAI pipelines leveraging vector databases and RAG frameworks.
• Ability to translate research and prototypes into production-ready capabilities.

Preferred Skills

• Experience with agentic AI design patterns, including tool-use orchestration or autonomous workflow agents.
• Proficiency in API design, microservices, and containerization (Docker, Kubernetes).

Key Skills

Education

Any Graduate