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Senior AI/Data Science Consultant

Hybrid in London·Added 13 days ago (last checked 12 Oct)

EPAM

102 open roles

Overview

Job details

  • Hybrid

    Office and home days — the ad has the split.

Benefits

  • Cycle to work and season ticket loan

    Commuter benefits named in the ad.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have 6+ years of experience

    Senior-level role.

Skills

Nice to have

Requirements

What we're looking for

  • 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

Pay & benefits

What you'll get

  • 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

The role

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.

What you'll do

  • 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

Hiring process

3 steps3 interviews
  1. Apply

  2. Conversation with Talent Acquisition

    With a Talent Acquisition Specialist

    An introductory conversation with a Talent Acquisition Specialist.

  3. Technical interview

    Video call

    An online technical interview.

  4. Interview with the hiring manager

    With a hiring manager

    A general interview with the hiring manager.

  5. Offer

  • The block is a template on EPAM location pages; the Spain page itself does not show it.

About EPAM

Industry
IT Services
Founded
1993
Employees
50,000–100,000
Headquarters
Newtown, USA
Website
epam.com
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