AI/ML Engineer - Junior/Mid/Senior - ICH Europe

Accenture
Full-timeMid

AI Tools

AutoGenCrewAILangChainLangGraphLlamaIndex

Tech Stack

PythonLangChainLangGraphCrewAIAutoGenLlamaIndexHugging FaceGCPAzureAWSMLflowKubeflowRAG

Agent Workflow

Design and deploy scalable AI/ML solutions leveraging agentic AI technologies. RAG solution development and vector-based retrieval architectures using LangChain, LangGraph, CrewAI, AutoGen.

About the Role

Accenture's Intelligent Consulting Hub (ICH) seeks AI/ML engineers for their Poland-based AI Centre of Excellence. The role involves designing and implementing scalable artificial intelligence solutions using cloud and generative technologies within cross-functional consulting teams.

Job ID: R00280439
Posted: October 7, 2025 (still active)
Location: Warsaw, Poland (Sienna 39) with telecommute flexibility
Entity: 4900 Accenture Sp. z o.o.

Key Responsibilities:

  • Contribute to cutting-edge AI initiatives by applying creativity, critical thinking, and analytical skills
  • Design and deploy scalable AI/ML solutions leveraging cloud, generative, and agentic AI technologies
  • Translate complex business requirements into data-driven technical solutions
  • Collaborate within agile teams combining technical, business, and data science expertise
  • Partner with major tech providers in the AI Centre of Excellence

Requirements:

  • Minimum 2 years applying data-driven approaches to business scenarios with advanced analytics and ML algorithms
  • At least 1 year working with generative or agentic AI technologies
  • Python-based frameworks: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers
  • Cloud platforms: GCP (Vertex AI, Vector Stores), Azure (ML, OpenAI, AI Search), or AWS (SageMaker, Bedrock)
  • ML concepts: clustering, regression, classification, forecasting, neural networks, NLP, LLMs
  • Professional English proficiency

Bonus Skills:

  • RAG solution development and vector-based retrieval architectures
  • MLOps tools (MLflow, Kubeflow, Airflow)
  • Databricks experience
  • Relevant cloud certifications

Benefits:

  • Permanent employment contract
  • Career coaching and personalized development paths
  • Extensive training (technical, soft skills, GenAI, cloud certifications)
  • Private medical care and life insurance
  • Employee Assistance Program
  • Employee Share Purchase Plan with quarterly dividends
  • Paid referral program

Primarily remote with hybrid flexibility. Travel to European client locations required for short/long-term project engagements.

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