Posted on: 22/05/2026
Job Description :
Roles & Responsibilities :
- Design and own end-to-end architecture for scalable, secure, and high-performance enterprise systems
- Define and implement AI-driven architecture strategies, integrating LLMs into core business applications
- Architect and build Agentic AI / multi-agent systems to automate complex workflows
- Design LLM orchestration layers across multiple providers with focus on performance, cost, and reliability
- Build and optimize RAG-based systems using vector databases for contextual intelligence
- Establish architecture standards, governance, and best practices across engineering teams
- Work closely with product, business, and leadership teams to translate requirements into scalable technical solutions
- Guide and mentor engineering teams on system design, AI integration, and best practices
- Evaluate and implement emerging AI tools, frameworks, and platforms for enterprise use cases
- Ensure scalability, security, and reliability across both traditional systems and AI-powered applications
Preferred Candidate Profile :
- 10 - 15 years of experience in software engineering with strong Solution Architecture background
- Proven hands-on experience in AI/LLM, Generative AI, and Agentic AI (must-have)
- Strong expertise in cloud platforms (AWS/Azure/GCP) and microservices architecture
- Experience building RAG-based systems and working with vector databases
- Proficiency in Python or Node.js with solid backend development experience
- Ability to translate business problems into scalable AI-driven solutions
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