AI Architect Data Scientist (GenAI)

TL;DR

AI Architect Data Scientist (GenAI): Leading the design and implementation of enterprise-scale AI solutions with an accent on Generative AI, RAG pipelines, and high-load cloud-native architectures. Focus on defining technical vision, architecting scalable analytical systems, and guiding engineering teams to deliver complex AI-powered products for global clients.

Location: Must be based in Georgia, Poland, Mexico, or Albania

Company

hirify.global is a global software services company with over 20 years of experience, delivering enterprise solutions and R&D initiatives for Fortune 500 clients across various industries.

What you will do

• Design and architect scalable AI systems, including GenAI, RAG pipelines, and intelligent assistants.
• Collaborate with customers and engineering teams to translate business requirements into technical solutions.
• Lead architecture decisions across cloud platforms like AWS, Databricks, and Snowflake.
• Ensure system scalability, reliability, and performance for high-load distributed environments.
• Participate in presale activities by providing technical expertise and solution vision.
• Mentor engineering teams and establish best practices for AI platform development.

Requirements

• 7+ years of experience in software engineering, solution architecture, and AI system development.
• Proven hands-on experience building and deploying AI systems for enterprise-scale environments.
• Strong expertise in software architecture, distributed systems, and cloud-native design.
• Practical experience with RAG systems and GenAI-based solutions.
• Proficiency with cloud and data platforms such as AWS, Databricks, or Snowflake.
• English B2+ proficiency required.

Nice to have

• Experience with Microsoft Azure or Google Cloud Platform.

Culture & Benefits

• Projects in diverse domains including healthcare, fintech, and e-commerce.
• Employment security with a focus on long-term team retention.
• Market-based compensation with regular performance reviews.
• Access to internal expert communities and professional development courses.
• Supportive work environment with a strong emphasis on growth and well-being.

Hiring process

• Review of CV and background.
• Interview focusing on skills, values, and cultural fit.
• Final decision and feedback.