Senior AI Architect

London Source: WhatJobs
£24,000–£59,000

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

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