Agentic AI Architect

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

Job Overview:

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives.

Key Responsibilities

·       Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.

·       Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.

·       Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).

·       Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.

·       Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.

·       Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.

·       Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys’ AI frameworks.

·       Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).

·       Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.

·       Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.