Description

You will own the architecture and delivery of AI/ML and GenAI platforms.

This role is on-site.

Responsibilities

• Lead architecture design for AI/ML, NLP, and GenAI platforms in hybrid cloud environments.
• Provide architectural solutions for public and private cloud platforms and resolve technical blockers.
• Drive end-to-end delivery of AI/ML and GenAI solutions on cloud platforms.
• Define and execute infrastructure and platform roadmaps aligned with business strategy.
• Develop and enforce engineering standards, best practices, and automation strategies.

Required Skills

• 3+ years designing and leading grid/cluster computing infrastructure (CPU/GPU) for AI/ML workloads.
• 3+ years with cloud platforms (Azure, GCP, GKE).
• Experience with Infrastructure as Code tools (Terraform, Ansible).
• 2+ years experience with High Performance Computing (HPC) environments.
• 2+ years experience with Elasticsearch.
• 1+ year experience with Big Data technologies (BigQuery).
• Experience with high-performance storage technologies including Object Storage.
• Strong understanding of cloud concepts (VPC, IAM, landing zones, control plane).
• Experience developing APIs using Python.
• Knowledge of CI/CD pipelines, DevOps practices, and SRE principles.

Preferred Skills

• Experience with LLMs and Generative AI platforms.
• Experience with API Gateways and cloud-native API development.
• Experience with Apache Spark or similar data processing technologies.

Key Skills

Education

Bachelor's degree