Senior AI Engineer| London

Senior AI Engineer| London

London Full-Time 81000 - 99000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Drive innovative AI solutions and collaborate with diverse teams across Europe.
  • Company: Join Infosys, a global leader in digital services and AI innovation.
  • Benefits: Competitive salary, bonuses, and opportunities for professional growth.
  • Other info: Be part of a learning culture that values diversity and teamwork.
  • Why this job: Shape the future of AI while making a real impact on client success.
  • Qualifications: Experience in Generative AI, strong problem-solving skills, and excellent communication.

The predicted salary is between 81000 - 99000 £ per year.

We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative AI solutions for our clients. The Generative AI Consultant will play a critical role in understanding client needs, designing tailored solutions, and ensuring the successful delivery of projects that meet defined metrics.

This role requires strong technical expertise across Generative and Agentic AI—including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage with clients and internal teams effectively.

In the role of Senior Consultant within Topaz Unit, you will be one of the pillars shaping the Gen AI/Agentic AI ecosystems for our esteemed clientele in Europe. You will play a vital role in researching AI trends, designing and defining AI models and frameworks, carving out solutions specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will be pivotal to problem definition and discovery of the overall solution and guide teams on project processes, deliverables.

You will anchor business pursuit initiatives, client training, in-house capability building. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required

  • Experience of solutioning in Gen AI, Agentic AI, classic ML and automation space
  • Experience and good understanding of GenAI prompt engineering, RAG pipelines, Supervised/unsupervised ML and AI observability
  • Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS).
  • Experience in designing and scaling GenAI chatbots.
  • Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler
  • Good understanding of Responsible AI principles
  • Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions
  • Strong articulation, stakeholder management and consulting skills
  • Experience driving productivity and cost optimisations

Skills:

  • Python with AI/ML frameworks (PyTorch, TensorFlow)
  • Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI / Agentic AI
  • Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI)
  • MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes)

Preferred

  • Delivered AI projects within Agile frameworks
  • Experience on Gen AI Feedback Analysis, topic modelling, sentiment analysis
  • Knowledge of AgentOps and OpenTelemetry
  • Understanding of Network Security Concepts, Network Telemetry and Analytics
  • Understanding of Cloud computing and Virtualization
  • Exposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc)
  • Exposure to onshore-offshore model working with professionals spread across the globe

Personal

  • High analytical skills
  • A high degree of initiative, flexibility and adaptability
  • High customer orientation
  • Good team engaging skills
  • Quality awareness
  • Good verbal and written communication skills
  • Transparency and Integrity

About Topaz CoE

Topaz Centre of Excellence is the Central AI and automation evangelisation unit at Infosys. Our vision is to enable Infosys towards delivering exponential value to customers through AI driven differentiation across all horizontal and vertical services, leveraging our internal as well as our partner capabilities. We enable Infosys towards an AI First Organization and to establish Infosys as a Market Leader in AI and Gen AI space. We help clients define roadmaps and realize productivity gains and business benefits through Automation, AI and Gen AI.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI.

Senior AI Engineer| London employer: Infosys Technologies

At Infosys, we pride ourselves on being an exceptional employer, particularly for the Senior AI Engineer role in London. Our vibrant work culture fosters collaboration and innovation, offering employees ample opportunities for professional growth and development within a diverse and inclusive environment. With a commitment to excellence and a focus on responsible AI practices, we empower our team members to drive impactful solutions while enjoying competitive compensation and a supportive atmosphere.

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Contact Details:

Infosys Technologies Recruitment Team

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We think you need these skills to ace Senior AI Engineer| London

Generative AI
Agentic AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Supervised Learning
Unsupervised Learning

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