AI Infrastructure Architect

Posted:
4/28/2026, 7:13:00 PM

Location(s):
Sofia, Sofia-City, Bulgaria ⋅ Sofia-City, Bulgaria ⋅ Plovdiv, Bulgaria ⋅ Plovdiv, Plovdiv, Bulgaria

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering

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:

  • 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing