Principal AI Architect (AI)

TL;DR

Principal AI Architect (AI/GenAI): Designing and overseeing complex AI ecosystems and multi-agent systems for clients with an accent on scalable delivery and commercial growth. Focus on translating business challenges into technical AI roadmaps and implementing production-grade LLMOps pipelines.

Location: Hybrid in Munich, Germany

Company

hirify.global is a leading digital consultancy that helps organizations unlock value by combining data, AI, design, and strategy.

What you will do

• Design and oversee the implementation of complex AI ecosystems, including advanced RAG architectures and multi-agent systems.
• Act as a strategic advisor for C-suite stakeholders, translating business challenges into technical AI roadmaps.
• Support sales and pre-sales by shaping AI opportunities and contributing to proposals.
• Set the standard for AI engineering practices, systematic LLM evaluation, and robust MLOps/LLMOps pipelines.
• Develop reusable proprietary assets to accelerate client delivery.
• Mentor Senior AI Engineers to bridge the gap between data science and production-grade software.

Requirements

• Advanced degree (M.Sc. or Ph.D.) in Mathematics, Physics, Computer Science, or a related quantitative field.
• Deep, hands-on experience in Python and cloud-native environments (Azure, AWS, or GCP).
• Proven track record of moving GenAI projects beyond chatbots into complex, integrated production systems.
• German language skills at C1/C2 level are mandatory.
• Fluency in English is required.
• Expert knowledge of IaC, Docker, and CI/CD pipelines.

Nice to have

• Cloud Architect or Data Engineer certifications (e.g., DP-600, AZ-204, or AWS Pro).
• Experience with Vector Databases (Qdrant, Pinecone) and Orchestration (LangChain, LlamaIndex).
• Background in professional consulting or agency environments.

Culture & Benefits

• Work with a leading digital consultancy driving innovation across various European industries.
• High autonomy in shaping sales and business development strategy.
• Comprehensive benefit package including sports sponsorship, health, and mobility benefits.
• Flexible hardware choice (laptop) and company phone for private purposes.
• Culture built on trust, transparency, and continuous improvement.

Hiring process

• Initial conversation to get to know the candidate.
• Deep technical discussion with future colleagues regarding skills.
• General chat about potential projects and reference calls.