EPAM Systems
Senior AI/Data Science Consultant
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Senior AI Engineer & 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
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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
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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
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