Senior Generative AI Architect & Strategy Leader

Infosys; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Infosys in London seeks a Senior AI Evangelist to lead Generative AI initiatives, architecting enterprise solutions across MCP, RAG, and agentic platforms. You will guide model selection, tooling choices, and governance, partnering with cross‑functional teams to deliver scalable AI systems.

The role emphasizes hands‑on architectural leadership, model‑and‑tool evaluation, and adoption of best practices for responsible AI in an enterprise setting.

Qualifications

• Expertise in Generative AI techniques including LLMs, diffusion and multimodal generation.
• Experience designing autonomous/multi‑agent systems with tool use and memory/state management.
• Knowledge of MCP and secure enterprise tool/data integration.
• Experience building knowledge-grounded RAG systems with embeddings and vector databases.
• Strong understanding of model governance, evaluation, and responsible AI practices.

Responsibilities

• Lead the Generative AI and Agentic architecture strategy for enterprise solutions.
• Select models, frameworks, and MCP standards based on project requirements.
• Design end‑to‑end architectures for data preprocessing, training, deployment and monitoring.
• Define reusable platform patterns for agent orchestration and tool integration.
• Collaborate with data scientists and engineers to implement production‑grade AI solutions.

Skills

Generative AI

Agentic AI

MCP Interoperability

RAG & Knowledge Architecture

LangChain / LangGraph

LLMOps

ML & Python

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

OpenAI Agents SDK

ADK

LangSmith

LangFuse

CrewAI

Job description

Infosys in London seeks a Senior AI Evangelist to lead Generative AI initiatives, architecting enterprise solutions across MCP, RAG, and agentic platforms. You will guide model selection, tooling choices, and governance, partnering with cross‑functional teams to deliver scalable AI systems.

The role emphasizes hands‑on architectural leadership, model‑and‑tool evaluation, and adoption of best practices for responsible AI in an enterprise setting.