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.

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
• 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands-on development with LLMs and autonomous AI agents
• Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
• Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
• Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
• Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
• Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills:

• Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
• Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
• Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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