GenAI Data Scientist: Deploy LLM/RAG in Production

Infosys Consulting - Europe; England; On-site; GBP 90,000 - 120,000; Full time

Job summary

Infosys Consulting in the United Kingdom is seeking highly skilled Data Scientists to design and deliver GenAI solutions (LLM/RAG) and applied ML components, taking prototypes through to production with strong evaluation, observability and governance.

The ideal candidate will have a strong background in applied ML and GenAI delivery (LLM/RAG), including evaluation, deployment and governance in production environments.

Qualifications

• Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch).
• Experience with LLM/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search).
• Hands-on experience with AWS Bedrock and Sagemaker would be highly desirable
• Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents).
• Exposure to big data/distributed computing and pipeline/feature engineering.
• LLM safety & governance (hallucination mitigation, grounded responses, audit trails)
• Degree in a quantitative field
• Hands-on exposure in building models and setting up ML Ops using Promithius/Grafana etc.

Responsibilities

• Design and deliver GenAI solutions including LLM/RAG (retrieval strategy, embeddings, vector stores, prompt flows, grounding) for enterprise use cases.
• Evaluate and improve solution quality using offline/online metrics (quality, latency, cost) and iterate based on feedback.
• Harden solutions for production with observability/monitoring, tracing, guardrails, safety controls, and reliability practices
• Build and integrate model endpoints into products and workflows (APIs/services), partnering with engineering through to deployment.
• Work across cloud platforms (Azure/AWS/GCP) integrating storage, compute, orchestration, and model/runtime components.
• Assess data readiness for modelling/RAG (fitness, quality, access) and define remediation requirements
• Collaborate in cross-functional squads (DS/DE/engineering/product) and contribute to reusable assets and ways of working.
• Communicate clearly with stakeholders on trade-offs, evaluation results, risks, and adoption actions.
• Own end-to-end workstream delivery, lead stakeholder conversations, mentor others. (more senior levels)
• Shape solution direction and quality bar, coach teams, contribute to sales pursuits/bids and accelerators (most senior levels)

Skills

Python/R

LLM/RAG toolchains

AWS Bedrock & SageMaker

GenAI platforms

Big data / distributed computing

LLM safety & governance

Quantitative field degree

ML Ops: Prometheus/Grafana

Education

Degree in a quantitative field

MSc or PhD (plus)

Tools

Prometheus

Grafana

Job description

Infosys Consulting in the United Kingdom is seeking highly skilled Data Scientists to design and deliver GenAI solutions (LLM/RAG) and applied ML components, taking prototypes through to production with strong evaluation, observability and governance.

The ideal candidate will have a strong background in applied ML and GenAI delivery (LLM/RAG), including evaluation, deployment and governance in production environments.