Tasks:
- * Assess business requirements and translate them into AI solutions
- * Automate product development processes
- * Coach and mentor consultants, engineers, and project teams
- * Design and implement AI, generative AI, and agentic AI solutions
- * Develop AI prototypes
- * Develop scalable AI architectures
- * Evaluate AI technologies and AI security
- * Expand AI engineering offerings
- * Integrate AI models into engineering and IT environments
- * Lead AI projects through deployment
- * Optimize CAD, requirements engineering, and simulation workflows
- * Promote engineering best practices
Perks/Benefits:
- + 30 days of annual leave
- + Flexible working hours and location
- + Full-time or part-time options
- + Hybrid work
- + Permanent employment
- + Professional growth opportunities
Skills/Tech stack required:
[Agentic AI] [AI architecture] [AI Security] [Amazon Web Services] [Amazon Web Services (AWS)] [CAD] [CI/CD] [Cloud Computing] [Cloud Native] [Cloud native design] [Docker] [Google Cloud] [Google Cloud Platform] [Google Cloud Platform (GCP)] [Kubernetes] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [Machine Learning] [Microsoft Azure] [MLOps] [Project Management] [Python] [Requirements Engineering] [REST APIs] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [Simulation] [Software Architecture]
Educational requirements:
[Degree in Computer Science, Software Engineering, Data Science, or related field]
Role(s):
[AI Architect] [AI Consultant] [AI Engineering] [AI Engineering Manager] [Architect] [Consultant] [Engineer] [Engineering Manager] [Learning Engineer] [Machine Learning Engineer] [Manager]