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.
Key Responsibilities:
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

Work arrangement
Yes