Description

Design and architect end-to-end Generative AI solutions, including RAG systems, AI agents, and chatbots, while establishing governance and security standards.

This role is on-site.

Responsibilities

• Architect scalable GenAI solutions using Azure OpenAI, OpenAI, and relevant AI frameworks.
• Design and implement RAG pipelines, AI agents, and automation workflows.
• Establish AI governance, security protocols, and Responsible AI standards.
• Integrate AI capabilities with enterprise applications and data platforms.
• Guide development teams and provide technical leadership for AI initiatives.

Required Skills

• 15+ years of experience in software architecture or engineering.
• Deep expertise in LLMs, Generative AI, and Prompt Engineering.
• Hands-on experience with RAG architectures and Vector Databases.
• Proficiency with Azure OpenAI, Azure AI Foundry, LangChain, or Semantic Kernel.
• Strong background in Cloud Architecture (Azure, AWS, or GCP).
• Proficiency in Python, APIs, and Microservices development.
• Understanding of AI governance, security, and compliance requirements.

Preferred Skills

• Experience optimizing AI solutions for scalability, performance, and cost.

Education

Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree