AI Infrastructure Architect
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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:
Design and implement end-to-end data architectures supporting GenAI and agentic AI use cases, including data ingestion, transformation, storage, and access layers
Build and optimize batch and real-time data pipelines for structured and unstructured data
Enable AI-ready data foundations, including feature engineering, embeddings generation, and vector indexing
Define scalable data models and access patterns tailored for LLM and agent-based systems
Ensure strong data governance, lineage, security, and compliance across platforms
Collaborate with data scientists, ML engineers, and platform teams to operationalize AI solutions
Translate business requirements into scalable, future-proof data architectures
Experience Level: 4-6 years in Data Engineering/ Data Architecture with 2+ years focused on GenAI/LLMs
Strong experience in data architecture, data engineering, and analytics in cloud environments
Proficiency in Python and SQL, with hands-on experience in platforms like Snowflake and distributed data processing
Experience with modern data platforms: Azure (Synapse, Data Factory, Fabric), Google Cloud (BigQuery, Dataflow, Vertex.ai), or AWS (Redshift, Glue)
Expertise in data pipeline orchestration and transformation tools such as Airflow, dbt, Kafka, and Databricks Solid understanding of both structured and unstructured data processing AI & GenAI Expertise:
Experience supporting LLM-based applications, including RAG architectures and embeddings workflows Familiarity with vector databases such as Pinecone, Weaviate, or FAISS Knowledge of AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Experience integrating with enterprise AI platforms such as Azure AI Foundry or Google Vertex AI is a strong advantage
Nice to have:
Strong understanding of data governance, security, and regulatory requirements
Experience working in cross-functional teams delivering enterprise AI solutions
Ability to bridge technical and business stakeholders and communicate complex concepts clearly
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
#LI-EU
Sofia
Plovdiv
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