AI Principal Architect (Generative AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
AI Principal Architect (Generative AI): Defining and driving the architecture, strategy, and implementation of advanced AI solutions across the organization with an accent on designing and deploying production-grade LLM chatbots, AI agents, and knowledge-driven AI systems. Focus on evaluating new tools, establishing MLOps best practices, and ensuring scalable, reliable, and reusable AI systems.
Location: Hybrid in Athens, Greece
Company
is a European technology company with over 8,900 professionals, dedicated to responsible digitalization and building innovative solutions for EU institutions, public, and private organizations.
What you will do
- Define and implement AI architecture strategy for LLM-based applications, RAG pipelines, and AI agents.
- Lead the design, deployment, and scaling of production-grade LLM chatbots and AI agents.
- Collaborate with data scientists and engineers to fine-tune LLMs, optimize prompts, and enhance model performance.
- Drive innovation in Generative AI by evaluating new tools, frameworks, and methodologies.
- Establish and promote MLOps best practices, including model monitoring and lifecycle management.
- Mentor junior engineers and integrate AI capabilities into existing cloud infrastructures (AWS, Azure).
Requirements
- Bachelorβs or Masterβs degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
- 10+ years of experience in AI/ML engineering, with at least 5 years in architectural or leadership roles delivering enterprise-scale AI solutions.
- Proven track record in designing, implementing, and deploying production-grade AI/ML solutions, particularly LLMs and Generative AI systems.
- Expert in LLMs, Generative AI, prompt engineering, RAG pipelines, embeddings, and vector search.
- Deep understanding of cloud AI platforms (AWS, Azure) for scalable, reliable AI deployments.
- CV must be uploaded in English.
Nice to have
- Familiarity with AI development frameworks and libraries such as LangChain, LlamaIndex, Haystack, Hugging Face.
- Knowledge of AI red teaming tools.
- Passion for keeping up with the latest AI research, techniques, and cloud technologies.
- Ability to identify opportunities for innovation in AI product development.
Culture & Benefits
- Hybrid working model with modern, sustainable, and state-of-the-art offices in Athens.
- Competitive compensation & benefits package, including health and life insurance program.
- Meal and commuting allowance.
- Continuous learning opportunities (unlimited access to Udemy for Business) and a personalized development plan.
- Opportunity to work on challenging, large-scale projects that directly impact millions of citizens around the globe.
- Seamless onboarding experience and a buddy to support your first steps.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β