Senior AI Architect| London

Overview

In this role you lead the Generative AI Technologies team to shape Infosys’ AI strategy and deliver enterprise-scale Gen AI solutions. You will select models, design architectures, and collaborate with cross-functional teams to meet customer goals. You’ll balance innovation with practical deployment, focusing on scalable, secure, and cost-efficient AI ecosystems. This position offers the opportunity to influence AI-first strategy and advance cutting-edge capabilities across industries.

Pay / Benefits

• Competitive compensation including bonus
• London, UK location

Responsibilities

• Lead Generative and Agentic AI strategy and roadmapping aligned with business goals
• Evaluate and select models, frameworks, RAG strategies, and MCP-based integration standards
• Design end-to-end architectures for data preprocessing, training, deployment, and monitoring
• Define reusable agentic architecture patterns, memory/state management, and guardrails for production
• Collaborate with data scientists and engineers to implement production-grade AI solutions
• Optimize performance, latency, and cost of AI systems, with ongoing experimentation
• Assess outcomes against success criteria and iterate on models and strategies
• Engage with customer teams to define requirements, boundaries, and SLAs; mentor junior staff
• Stay current with Gen AI landscape and incorporate trends into solutions and platform architecture

Key requirements

• Deep Generative AI expertise across LLMs, diffusion, multimodal models; hands-on with API-based and open-source LLMs
• Expertise in agentic AI, multi-agent design, and tool-driven workflows; familiarity with LangGraph, CrewAI, MAF, ADK, OpenAI Agents SDK
• Strong MCP knowledge for standardized LLM/tool integration and enterprise interoperability
• Experience extending agent capabilities via modular skills and reusable components
• RAG and knowledge-architecture experience; embeddings, vector stores, hybrid search, and evaluation
• LLMOps, observability, governance, safety, bias/fairness, and regulatory considerations
• Proficiency in Python and ML frameworks; experience with LangChain, LlamaIndex, Semantic Kernel; cloud AI platforms

• excellent communication and collaboration
• ability to convey complex concepts to non-technical stakeholders
• customer orientation and proactive leadership
• Python
• TensorFlow
• PyTorch

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