Role Overview:This role focuses on defining enterprise AI architecture and target-state roadmaps, with a strong emphasis on designing and implementing Generative AI and Agentic AI solutions. The architect will be responsible for building scalable, secure, and high-performing AI solutions on leading cloud platforms, establishing governance, and providing technical leadership to development and AI engineering teams.
Key Responsibilities:- Define enterprise AI architecture and target-state roadmap.
- Design scalable, secure, and high-performing AI solutions.
- Evaluate and recommend AI platforms, frameworks, and tools.
- Establish AI governance, security, compliance, and responsible AI practices.
- Design and implement GenAI solutions using LLMs.
- Build RAG (Retrieval-Augmented Generation) architectures.
- Design AI Agents and multi-agent orchestration frameworks.
- Define prompt engineering, fine-tuning, and model evaluation strategies.
- Architect AI solutions on Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms.
- Design integrations between enterprise applications and AI services.
- Establish MLOps and LLMOps frameworks for deployment and monitoring.
- Lead architecture reviews and solution design workshops.
- Mentor development and AI engineering teams.
- Support client discussions, PoCs, and solution proposals.
Required Skills:- Expertise as an AI Developer (Architect).
- Proficiency in Digital Artificial Intelligence (AI).
Qualifications:Preferred Skills: 
