Azure Data & AI Engineer working closely with clients to create sustainable technical solutions. Designing modern data platforms in Azure and contributing to data accessibility and usability.
About the role
- AI Architect designing and implementing scalable platforms for GenAI use cases at BMW TechWorks Romania. Leading engineering teams and ensuring operational stability of production components.
Responsibilities
- Architectural design and ownership of a platform for hosting and operating a multitude GenAI use cases
- End-to-end design and implementation of scalable, resilient, and secure services (microservices developed in Python, serverless, APIs, event-driven architectures) by using the best software design patterns and code guidelines
- Selection, integration, and orchestration of GenAI components, including knowledge management, prompt/pipeline management, agentic workflows and tooling for efficient MLOps/AIOps practices.
- Definition and establishment of engineering best practices covering data engineering, reusable service design, CI/CD for automated deployment and monitoring.
- Close collaboration with global stakeholders, product owners, feature teams, and internal/external development partners to ensure seamless platform evolution.
- Mentoring and technical leadership for engineering teams, guiding architectural decisions and contributing to mid and longterm roadmap planning.
- Operational responsibility for running platform components in production, ensuring stability, security, compliance, and reliability.
Requirements
- Bachelor's Degree in Computer Science, Engineering, Artificial Intelligence, or a related field
- Minimum of 5-7 years of experience on a similar position
- Successfully completed studies in computer science, informatics, or a comparable technical field
- Several years of experience in technical leadership, guiding engineers and/or feature teams, paired with strong enterprise-wide strategic and operational awareness
- At least two years of hands-on experience operating a production-grade platform in an enterprise context, including reliability, scaling, observability, and lifecycle management
- Practical experience with GenAI/LLM ecosystems (inference optimization, RAG, embeddings, prompt engineering)
- Solid knowledge of modern cloud architectures (especially AWS) and deep familiarity with service-oriented and event-driven system design
- Good understanding of containers and orchestration technologies, CI/CD, IaC, and serverless AWS services
- Experience with monitoring, logging, metrics, tracing, and implementing security-by-design
- Excellent communication skills, strong presence, and the ability to make well-founded decisions and influence at all organizational levels
- A strong future-oriented mindset with a demonstrable ability to envision and shape technical evolution
- Knowledge of additional languages/frameworks (e.g., TypeScript, Java) and test/automation tooling is a nice to have
- Excellent English verbal and written skills
- German communication skills will be a plus
Benefits
- Challenging projects with which we are shaping the mobility of tomorrow
- Great team spirit within an international team
- State-of-the-art global IT landscape and processes
- 100% implementation of the Agile Working Model methodology
- Wide range of personal & professional development opportunities
- High level of job security
- Work-Life-Balance and flexible working hours
- Attractive and performance-related remuneration
- Dynamic and highly-motivating work environment
Job title
Job type
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