AI Architect (GenAI/LLM)

TL;DR

AI Architect (GenAI/LLM): Designing and implementing advanced GenAI and LLM solutions for enterprise clients with an accent on technical vision, architecture, and production readiness. Focus on defining end-to-end solution blueprints, integrating LLM systems with enterprise platforms, and ensuring architectural integrity across complex environments.

Location: Hybrid working model, based out of Thessaloniki, Greece

Company

hirify.global is a European IT consulting firm dedicated to responsible digitalisation, building innovative solutions for EU institutions, public, and private organisations.

What you will do

• Own the end-to-end technical architecture of GenAI and LLM solutions across multiple enterprise projects.
• Translate business and functional requirements into scalable, secure, and production-ready AI architectures.
• Design advanced GenAI pipelines, including RAG architectures, orchestration layers, evaluation frameworks, and model deployment strategies.
• Define integration patterns between LLM systems and various enterprise platforms.
• Establish architectural standards, best practices, and reusable frameworks for AI delivery.
• Guide engineering teams on implementation decisions, conducting architectural reviews and ensuring technical excellence.

Requirements

• 6+ years of experience in AI/ML engineering or solution architecture with a proven track record of designing and delivering enterprise-grade AI systems from concept to production.
• Strong experience in architecting GenAI solutions, including prompt engineering strategies, RAG architectures, LLM evaluation frameworks, and production deployment patterns.
• Deep understanding of distributed systems, APIs, microservices, data architectures, and cloud-native design principles.
• Experience designing scalable AI solutions on cloud platforms (AWS, Azure), including MLOps and CI/CD practices.
• Demonstrated experience translating complex business requirements into technical blueprints and solution architectures.
• Strong communication skills to explain architectural decisions and trade-offs to both technical and non-technical stakeholders.

Nice to have

• Experience in consulting, systems integration, or professional services environments.
• Hands-on experience with AIOps practices, LLM monitoring frameworks, and AI governance models.
• Knowledge of frameworks such as LlamaIndex, LangGraph, and AI evaluation toolkits.
• Experience with multi-model strategies and hybrid/on-prem AI deployments.
• Exposure to regulated industries where security, compliance, and data residency are critical design factors.

Culture & Benefits

• Competitive compensation & benefits package.
• Health and life insurance program.
• Meal and commuting allowance.
• Well-being activities on premises.
• Continuous learning opportunities with unlimited access to Udemy for Business and ad-hoc trainings.
• Personalized development plan for targeted career growth.