Senior AI Tech Architect (AI)

Location: Copenhagen, Denmark; on-site project work and regular office Fridays

Company

hirify.global and BCG Platinion advise leading global companies on business, technology, data, and AI transformation.

What you will do

• Lead architecture and technical solution modules across applications, data, cloud, integration, and AI.
• Design and guide the implementation of AI and GenAI solutions, including LLM-based and agent-based applications, retrieval architectures, model integration, and supporting data platforms.
• Translate business and functional requirements into technical designs and facilitate architecture decisions.
• Lead prototypes, proofs of concept, and technical assessments to evaluate technologies and reduce implementation risk.
• Define engineering practices and platform capabilities for production AI, including APIs, CI/CD, DevOps, MLOps/LLMOps, observability, testing, and lifecycle management.
• Coordinate smaller technical teams, coach engineers and junior architects, and embed security and responsible AI into solution design.

Requirements

• Approximately four years of relevant experience in software development, data or AI engineering, cloud or platform engineering, solution architecture, or IT consulting.
• Degree in computer science, software engineering, data science, informatics, engineering, or a related technology-intensive field, or equivalent relevant industry experience.
• Hands-on engineering experience with code, APIs, data, technical designs, and modern development environments.
• Strong knowledge of software and cloud architecture, APIs, microservices, containerization, cloud-native development, distributed systems, CI/CD, and DevOps.
• Hands-on experience with AI, machine learning, or GenAI solutions, including the design of LLM-based applications; RAG, AI agents, model integration, MLOps/LLMOps, or AI evaluation experience is advantageous.
• Excellent English communication skills and willingness to travel are required.

Nice to have

• Experience with RAG, AI agents, model integration, MLOps/LLMOps, or AI evaluation.
• Experience guiding engineers or junior architects and maintaining quality across technical deliverables.

Culture & Benefits

• Interdisciplinary work with business, industry, technology, data, and AI specialists.
• Projects span multiple industries and technologies, including enterprise AI platforms, agentic solutions, GenAI applications, cloud and data architectures, and digital transformations.
• Individual training offers and regular feedback support professional development.
• Open work environment with back-office support, a knowledge center, and simplified travel booking.
• Regular office Fridays and team events support collaboration beyond project work.