2 дня назад
AI Tech Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Tech Architect (AI/Cloud): Designing scalable architectures, AI platforms, and GenAI solutions for global client projects with an accent on LLM applications, agent-based systems, cloud-native development, and data platforms. Focus on translating business requirements into secure technical designs, building prototypes, and moving AI solutions into production through APIs, CI/CD, DevOps, MLOps/LLMOps, and observability.
Location: Copenhagen, Denmark; client projects may involve on-site work and regular office Fridays.
Company
and BCG Platinion advise leading global companies on business, technology, data, and AI transformation.
What you will do
- Analyze technology landscapes and design scalable application, data, cloud, integration, and AI architectures.
- Design 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 assess performance, scalability, resilience, security, maintainability, cost, and vendor trade-offs.
- Build prototypes and proofs of concept to test technical feasibility and demonstrate emerging technologies.
- Help move AI solutions from experimentation to production through APIs, CI/CD, DevOps, MLOps/LLMOps, observability, testing, and lifecycle management.
- Design secure and responsible solutions covering data protection, access control, AI governance, model risk, and cyber resilience.
Requirements
- Degree in computer science, software engineering, data science, informatics, engineering, or another technology-intensive field, or relevant industry experience.
- Approximately two years of relevant experience in software development, data or AI engineering, cloud or platform engineering, solution architecture, or IT consulting.
- Hands-on software development or engineering experience with code, APIs, data, and modern development environments.
- Understanding of APIs, microservices, containerization, cloud-native development, data architectures, CI/CD, and DevOps.
- Hands-on experience with AI, machine learning, or GenAI solutions and understanding of LLM-based applications.
- 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.
- Business education with a relevant technology major or relevant industry experience.
Culture & Benefits
- Interdisciplinary collaboration across business, industry, technology, data, and AI.
- International client projects spanning multiple industries and technologies.
- Individual training offers and an open feedback culture.
- Back-office support, easy travel booking, and access to a comprehensive Knowledge Center.
- Regular office Fridays and team events supporting a close professional network.
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