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Infosys

SCON_ AI_ London

Greater London
Posted about 1 month ago
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JOB DESCRIPTION

Role – Senior AI Engineer

Technology – AI/ ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP

Location – London – UK

Business Unit – TOPAZDLVRY

Compensation – Competitive (including bonus)


Job Summary

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.


Your role

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 optimizations

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

Besides the professional qualifications, we respect and place equal importance to the candidate’s personality which facilitates success in customer environments. Few traits we look for are:

  • 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. Our AI-first set of services, solutions, and platforms using generative AI technologies help amplify the potential of humans, enterprises, and communities to create value from unprecedented innovations, pervasive efficiencies, and connected ecosystems. We bring the advantage of 12,000+ AI assets, 150+ pre-trained AI models, 10+ AI platforms steered by AI-first specialists and data strategists, and a ‘responsible by design’ approach that is uncompromising on ethics, trust, privacy, security, and regulatory compliance.

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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. We enable them with an AI-first core, empower the business with agile digital at scale, and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

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.

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Location

Greater London, England, United Kingdom

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