Senior AI Architect

Infosys Technologies; Greater London; On-site; GBP 24,000 - 59,000; Full time

Job summary

Infosys London is seeking a Senior Architect/Consultant with deep Generative AI, Agentic AI, LLMs, and RAG expertise to lead enterprise-scale solutions.

You will design end-to-end Generative and Agentic AI architectures, evaluate models, and drive MCP-based integration with cross-functional teams across customers. Strong hands-on experience with LangChain, PyTorch, Python, Docker, Kubernetes is expected.

Qualifications

• Senior Architect/Consultant with enterprise-scale solution experience.
• In-depth knowledge of Generative AI techniques and foundation models.
• Hands-on with advanced prompt engineering, function/tool calling, and orchestration frameworks.

Responsibilities

• Lead development of Generative and Agentic AI technology roadmap.
• Evaluate models, agent frameworks, and RAG strategies including MCP.
• Design scalable architectures and reusable patterns for agentic AI.
• Collaborate with data scientists/engineers to productionize models.

Skills

Generative AI

Agentic AI

LLMs

RAG

Prompt engineering

Orchestration frameworks

Python

TensorFlow

PyTorch

Cloud platforms

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Docker

Kubernetes

Vector DBs

MCP

Job description

Salary: £24,000 - 59,000 per year

Requirements

• We seek a highly skilled and experienced Senior Architect/Consultant with deep understanding of Generative AI, Agentic AI, LLMs, RAG, machine learning, and modern interoperability standards such as MCP.
• We expect proven experience architecting and implementing innovative, enterprise-scale solutions.
• We require in-depth knowledge of modern Generative AI techniques and foundation models, including transformer-based LLMs, diffusion models, multimodal models, GANs, and VAEs.
• We look for hands-on experience with advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks such as LangChain, LangGraph, LlamaIndex, and Semantic Kernel.
• We require exposure to both API-based and open-source LLM solution design.
• We seek deep expertise in designing autonomous and multi-agent systems, including agentic design patterns and agent frameworks.
• We require strong working knowledge of the Model Context Protocol and related interoperability standards.
• We look for experience extending agent capabilities through modular, reusable skills, custom tools, connectors, and standards.
• We require expertise in RAG and knowledge-grounded systems, including chunking, embeddings, vector databases, hybrid search, reranking, and retrieval evaluation.
• We expect experience operationalizing LLM and agentic systems at scale, including evaluation, observability, guardrails, red-teaming, and continuous optimization.
• We require a strong understanding of machine learning principles, algorithms, frameworks, model design, and training pipelines.
• We seek proficiency in Python, TensorFlow, PyTorch, or similar tools, along with modern LLM and agent frameworks.
• We value experience with cloud AI platforms, vector databases, Docker, Kubernetes, and distributed computing.
• We require the ability to design end-to-end Generative and Agentic AI architectures.
• We value familiarity with the relevant industry domain, data engineering practices, and AI governance, security, and responsible AI considerations.
• We require excellent communication and collaboration skills to work with cross-functional teams and customers.
• We look for high analytical skills, initiative, flexibility, adaptability, customer orientation, team engagement, quality awareness, transparency, integrity, and accountability.

Responsibilities

• We lead the development of the Generative and Agentic AI technology roadmap.
• We identify opportunities, evaluate use cases, and propose innovative agent-driven solutions aligned to business goals.
• We evaluate and select appropriate models, agent frameworks, RAG strategies, and integration standards including MCP.
• We design comprehensive and scalable architectures for Generative AI solutions.
• We define reusable architecture patterns and platform standards for agentic AI, including orchestration, MCP-based integration, memory, state management, guardrails, human oversight, and observability.
• We collaborate with data scientists and engineers to implement Generative AI solutions and integrate models into production environments.
• We continuously optimize model performance across speed, accuracy, and resource utilization.
• We assess solution outcomes against success criteria and iterate based on metrics and feedback.
• We work closely with customer architecture and business teams to define requirements, technical boundaries, and SLAs.
• We collaborate with cross-functional teams, provide guidance and mentorship to junior team members, and foster a collaborative and innovative environment.
• We stay updated on the fast-evolving Generative and Agentic AI landscape and incorporate emerging trends into solution and platform architecture.

Technologies

• Agentic AI
• AI
• API
• Architect
• Cloud
• Docker
• Kubernetes
• LLM
• Machine Learning
• MCP
• PyTorch
• Python
• RAG
• Security
• TensorFlow
• AWS
• Azure
• GCP
• Langfuse
• Model Training
• React

More

We are Topaz CoE, the Central AI and automation evangelisation unit at Infosys. Our vision is to help Infosys deliver exponential value to customers through AI-driven differentiation across horizontal and vertical services, leveraging our internal and partner capabilities. We enable Infosys to become an AI First organization and a market leader in AI and Gen AI. We help clients define roadmaps and realize productivity gains and business benefits through automation, AI, and Gen AI. Our AI-first services, solutions, and platforms are built to amplify human and enterprise potential through innovation, efficiency, and connected ecosystems. We bring 12,000+ AI assets, 150+ pre-trained AI models, and 10+ AI platforms, supported by AI-first specialists and data strategists, with a responsible-by-design approach focused on ethics, trust, privacy, security, and regulatory compliance. We are hiring for a Technology Architect role in London, United Kingdom, with competitive compensation including bonus, within Infosys Limited.

last updated 36 week of 2026