AI Architect

Infosys; Greater London; On-site; GBP 80,000 - GBP 100,000; Full time

Job summary

A global leader in digital services is seeking a Senior Technology Architect to lead AI-driven product capabilities across multiple domains. The ideal candidate will architect scalable solutions, guide development teams, and help implement innovative AI applications. Strong technical expertise in machine learning, NLP, and hands-on experience with Python and cloud AI ecosystems are required. This role offers a competitive compensation package and opportunities to mentor teams and lead innovative projects.

Qualifications

• Strong foundation in NLP and LLM architectures.
• Hands-on expertise with Python and ML frameworks.
• Experience with cloud AI ecosystems (AWS, Azure, GCP) preferred.

Responsibilities

• Architect and deliver scalable GenAI solutions across data, model, and application layers.
• Define reference architectures and reusable patterns for AI integration.
• Lead PoCs and innovation initiatives in AI technologies.

Skills

NLP and LLM-based architectures

Python

Machine Learning

TensorFlow

PyTorch

Cloud AI ecosystems (AWS, Azure, GCP)

Tools

LangChain

Hugging Face

Docker

Kubernetes

Job description

Overview

Role – Senior Technology Architect
Technology – GenAI, LLM, RAG, Agentic AI, AI workflows
Location – London, United Kingdom
Business Unit – ENG
Compensation – Competitive (including bonus)

Job Description

The AI Architect will lead the design and implementation of AI-driven product capabilities across multiple domains like Aero, Manufacturing, Retail, Finance etc using both Traditional & Generative AI + Machine Learning. The role involves defining architecture, guiding development, and enabling innovation across AI/ML, LLM, RAG, and Agentic AI use cases. The ideal candidate combines strong technical depth with product mindset, collaboration, and leadership. The candidate should have technical consulting capabilities, Solutioning acumen, Domain knowledge on any of the industries where GEN AI is applied. Candidate should be able to conduct value stream workshops in discovering the AI implementation scope and able to create architecture and detailed solutions. Candidate should have excellent communication skills.

Key Responsibilities

• Architect and deliver scalable GenAI solutions across data, model, and application layers.
• Define reference architectures, reusable patterns, and best practices for AI integration into products.
• Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.
• Familiarity with ML and able to integrate AI/ML solutions
• Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.
• Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.
• Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.
• Mentor teams on AI engineering, prompt design, and scalable deployment practices.
• Support pre-sales and customer discussions to define solution approaches and architecture options.
• Familiarity of a Product development Value chain in a domain.

Skills & Experience

• Strong foundation in NLP, and LLM-based architectures.
• Familiarity with machine learning, deep learning (Strong knowledge is an added advantage)
• Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow.
• Experience with cloud AI ecosystems — AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI). GraphRAG
• Experience in Foundation models , Codex tool plugins, New Coding tools ( Cursor, Devin )
• Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS ) and RAG pipelines.
• Familiarity with containerization (Docker, Kubernetes) and MLOps workflows.
• Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices.
• Understanding of data engineering, model observability, and AI governance.

Soft Skills

• Strong analytical, problem-solving, and communication abilities.
• Collaborative mindset with ability to work across product, engineering, and data teams.
• Thought leadership in driving AI adoption, innovation, and best practices.
• Experience supporting AI CoE initiatives and customer engagements.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

All aspects of employment at Infosys are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer