AI Infrastructure Engineer

About the role

Accenture is looking for an AI Infrastructure Engineer to design and deliver scalable, enterprise‑grade data architectures that enable advanced analytics, generative AI, and agentic AI solutions. The role sits at the intersection of data engineering, data science, and AI, supporting LLM‑driven applications, retrieval‑augmented generation pipelines, and intelligent agent workflows.

Key responsibilities

• Build and maintain data pipelines for structured and unstructured data (batch and real‑time).
• Set up and manage data storage and access layers for AI use cases.
• Support AI‑ready data foundations such as embeddings, vector indexing, and feature engineering.
• Collaborate with data and AI teams to integrate models into data workflows.
• Apply basic data governance and security practices.
• Translate business requirements into practical data solutions.

Required profile

• 3‑5 years of experience in data engineering or a related role.
• Fluent in English, both written and spoken.
• Ability to work independently with strong organizational and execution skills.
• Analytical mindset, proactive attitude, and attention to detail.

Required skills

• Python
• SQL
• Azure, AWS, or Google Cloud Platform
• Airflow or similar orchestration tool
• dbt or comparable data‑transformation tool
• Snowflake, Databricks or similar data platforms (nice to have)
• LangChain, LlamaIndex (nice to have)
• Vector databases such as Pinecone, FAISS, Weaviate (nice to have)

What we offer

• Certification opportunities
• Career counselling
• 25 days paid vacation
• Flexible home‑office policy
• Option to buy company shares