Agentic & Automation Architect

Infosys; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Infosys Hyderabad is seeking an Agentic & Automation Architect with 9+ years of experience to design and implement AI-driven automation across enterprise workflows. You will lead the development of agent-based solutions that orchestrate complex processes and integrate LLMs, APIs, databases, and enterprise applications.

You will architect multi-agent systems, build scalable automation frameworks, and define governance, security, and operational standards.

Responsibilities

• Design and develop AI agent-based solutions for business automation.
• Architect multi-agent systems for complex enterprise workflows.
• Integrate LLMs, APIs, databases, and enterprise applications.
• Build intelligent automation frameworks using AI and RPA technologies.
• Develop prompt strategies and agent orchestration workflows.
• Implement Retrieval-Augmented Generation (RAG) solutions.
• Ensure scalability, security, and governance of AI systems.
• Collaborate with business stakeholders to identify automation opportunities.
• Monitor, optimize, and improve agent performance and reliability.
• Establish AI architecture standards, best practices, and operational procedures.
• Evaluate emerging AI agent frameworks and automation technologies.
• Support deployment, testing, and production readiness of AI solutions.

Job description

Position: Agentic & Automation Architect

Experience: 9+years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

• Design and develop AI agent-based solutions for business automation.
• Architect multi-agent systems for complex enterprise workflows.
• Integrate LLMs, APIs, databases, and enterprise applications.
• Build intelligent automation frameworks using AI and RPA technologies.
• Develop prompt strategies and agent orchestration workflows.
• Implement Retrieval-Augmented Generation (RAG) solutions.
• Ensure scalability, security, and governance of AI systems.
• Collaborate with business stakeholders to identify automation opportunities.
• Monitor, optimize, and improve agent performance and reliability.
• Establish AI architecture standards, best practices, and operational procedures.
• Evaluate emerging AI agent frameworks and automation technologies.
• Support deployment, testing, and production readiness of AI solutions.