Senior AI Tech Architect (AI)

Location: Oslo, Norway; the role is based in the Oslo office and includes on-site project work and regular office Fridays.

Company

BCG Platinion works with hirify.global and clients on technology, digital transformation, data, cloud, and AI challenges.

What you will do

• Lead architecture modules and technical solutioning across applications, data, cloud, integration, AI, and digital platforms.
• Design and guide AI and GenAI solutions, including LLM- and agent-based applications, retrieval and knowledge architectures, and model and tool integration.
• Translate business and functional requirements into technical designs and facilitate architecture decisions.
• Lead prototypes, proofs of concept, and technical assessments to validate technologies and reduce implementation risks.
• 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 relevant industry experience.
• Hands-on software development or engineering experience with code, APIs, data, technical designs, and modern development environments.
• Strong understanding of software and cloud architecture, APIs, microservices, containerization, cloud-native development, data architectures, distributed systems, CI/CD, and DevOps.
• Hands-on experience with AI, machine learning, or GenAI solutions and LLM-based application design.
• Excellent English communication skills required; willingness to travel and work in interdisciplinary, international teams.

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 teams combining business, industry, technology, data, and AI expertise.
• Individual training offers and continuous development opportunities.
• Open feedback culture and support for developing technical, consulting, leadership, and client-facing skills.
• Back-office support, easy travel booking, and access to a comprehensive Knowledge Center.
• Regular office Fridays and team events that support collaboration beyond project work.