Description

Design and implement end-to-end Generative AI architectures using LLMs and AI platforms.

This role is hybrid.

Responsibilities

• Define solution patterns for prompt engineering, RAG, and fine-tuning.
• Select and integrate GenAI tools, frameworks, and APIs.
• Ensure AI solutions meet security, privacy, and compliance standards.
• Document architecture designs and technical guidelines.
• Collaborate with business, data, and engineering teams to identify and validate GenAI use cases.

Required Skills

• 7+ years of experience in Generative AI and Large Language Models (LLMs).
• Proficiency in Python and AI/ML frameworks.
• Strong understanding of prompt engineering, embeddings, and RAG architectures.
• Experience integrating AI models via APIs.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Understanding of data pipelines and vector databases.
• Strong problem-solving and communication skills.

Preferred Skills

• Experience guiding development teams on GenAI best practices and architecture standards.
• Ability to monitor and optimize performance, cost, and scalability of GenAI solutions.

Key Skills

Education

Any Graduate