Description

You will lead the architecture and delivery of large-scale AI systems, focusing on LLMs, RAG, and distributed microservices.

Responsibilities

• Design and implement AI/ML systems, including LLM integration and RAG architectures.
• Architect scalable data pipelines and manage vector database solutions.
• Lead deployment strategies using MLOps practices and enterprise AI platforms.
• Define and enforce responsible AI governance and evaluation frameworks.

Required Skills

• 15+ years of experience in software engineering, AI/ML, or architecture roles.
• Deep expertise in LLMs, RAG architectures, and prompt engineering.
• Strong background in distributed systems and microservices design.
• Proficiency with cloud platforms: GCP, AWS, or Azure.
• Hands-on experience with DevOps tools, Kubernetes, and CI/CD pipelines.
• Experience with enterprise AI platforms and large-scale production deployments.

Preferred Skills

• Familiarity with Responsible AI and governance frameworks.

Key Skills

Education

Bachelor's degree