Senior AI/Data Science Consultant

Location: London; UK

Work type: Hybrid

Seniority: Associate Management

Primary skill: Data Science Consulting

Posted:

We're looking for a Senior AI Engineer & Data Science Consultant to join our team in London, United Kingdom in a hybrid working mode. This role is part of EPAM’s Data & AI Practice and combines hands-on engineering leadership with technical consulting expertise. You will design and deliver production-grade Generative AI and Agentic AI solutions while engaging stakeholders and shaping strategic AI initiatives. If you’re passionate about multi-agent systems, advanced RAG pipelines, and delivering end-to-end AI solutions that create measurable business impact, this role offers both technical depth and leadership scope.

Responsibilities

• Design, build, and deploy Generative AI and Agentic AI solutions through the full lifecycle from prototype to production
• Implement and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK
• Create orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflows
• Build RAG pipelines with embeddings, chunking strategies, hybrid search, retrieval evaluation, and enterprise data grounding
• Architect reusable AI design patterns including human-in-the-loop workflows and multi-agent coordination models
• Apply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC)
• Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectations
• Ensure delivery adheres to AI governance, data privacy, and regulatory frameworks
• Support pre-sales activities through technical solutioning, demos, and PoC development
• Apply observability and monitoring using tools like Langfuse, Arize, and OpenTelemetry
• Contribute to architecture decisions and technical standards across engagements

Requirements

• 6+ years in AI/ML engineering, data science, or applied AI roles within professional services or enterprise environments
• Proven experience building and deploying Generative AI and Agentic AI solutions into production
• Expertise in LLMs, advanced RAG strategies, prompt engineering, and model evaluation approaches
• Hands-on experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)
• Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI-based integration
• Strong Python development skills and knowledge of CI/CD, DevOps, and cloud-native architectures
• Practical experience with Azure (Azure OpenAI, Azure AI Foundry, AI Search) and familiarity with AWS or GCP
• Proficiency with containerized deployment, MLOps tooling (MLFlow, Airflow), and infrastructure-as-code practices
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Nice to have

• Experience with Azure AI Agent Service or Microsoft Agent Framework
• Familiarity with vector databases (Pinecone, Weaviate, Qdrant, Milvus)
• Knowledge of AI safety techniques such as guardrails, bias mitigation, and model explainability
• Understanding of Intelligent Document Processing, data lineage, and distributed memory for agent systems
• Experience enabling responsible and auditable AI governance

We offer

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

*All benefits and perks are subject to certain eligibility requirements