AI Infrastructure Engineer

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 740,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. 
 

The role is open in various locations such as Sofia, Plovdiv, Varna, Ruse and Burgas.

We are seeking a highly skilled Data Architect Consultant to design and deliver scalable, enterprise-grade data architectures that enable advanced analytics, GenAI, and agentic AI solutions. This role sits at the intersection of data engineering, data science, and AI, requiring hands-on expertise in building robust data ecosystems that support LLM-driven applications, RAG pipelines, and intelligent agent workflows in production environments.

• Build and maintain data pipelines for structured and unstructured data (batch and real-time) 

• Help set up and manage data storage and access layers for AI use cases 

• Support AI-ready data foundations — embeddings, vector indexing, feature engineering 

• Collaborate with data and AI teams to integrate models into data workflows 

• Apply basic data governance and security practices 

• Translate requirements into practical data solutions 

• Experience Level: 3-5 years in Data Engineering or a related data role 

• Solid knowledge of Python and SQL 

• Hands-on experience with at least one cloud platform: Azure, AWS, or Google Cloud 

• Familiarity with data pipeline tools such as Airflow, dbt, or similar 

• Some exposure to GenAI or LLM-based applications (RAG, embeddings, or similar) — even from personal projects 

• Basic understanding of vector databases or AI orchestration tools is a plus, not a must 

Nice to have: 

• Experience with Snowflake, Databricks, or similar data platforms 

• Familiarity with LangChain, LlamaIndex, or vector DBs (Pinecone, FAISS, Weaviate) 

• Experience working in cross-functional teams 

The Rest of the qualities, you know them: 

• Fluent in English – verbal & written 

• Ability to work independently, demonstrating high-level organizational and execution skills 

• Strong analytical, problem-solving, and time management skills. 

• Proactive mindset and willingness to cross-functional collaboration 

• Very good attention to detail and meeting deadlines 

Benefits: 

• Certification 

• Career Counselling 

• 25 day paid vacation 

• Flexible home office policy 

• Options to buy shares 

• Luxury health & dental insurance 

• Food vouchers 

• Multisport cards 

• Employee Assistance Program