Senior AI/Data Science Consultant

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

• 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

• 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

• 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

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