AI Platform Engineer
Nordea Näytä kaikki työpaikat
- Helsinki
- Vakituinen
- Täyspäiväinen
- Design and implement proof-of-concept solutions for the AI Platform spanning predictive, generative and agentic workflows.
- Secure that applications are compliant in accordance with rules and regulations.
- Define production readiness and operational governance.
- Lead technical working groups and cross-team synchronization.
- Translate strategic direction into tactical technical guidance for the teams.
- Application risk management - manage risks and QRAs.
- Application access management - access rules and requirements.
- Application cost management - ensure cost efficient applications.
- Application incident management - secure proper communication and reporting.
- Ambitious and enjoy bringing ideas, exploring their potential, and presenting the results. You're passionate about ensuring production excellence in machine learning operations, ensuring both the bank's and society's safety.
- Cllaborative and thrive in cross-functional environments, comfortable working at the intersection of business and technology. You communicate clearly and confidently with both technical and non-technical audiences, and you're comfortable driving work forward independently.
- BSc or MSc in Computer Science, Computer Engineering, a relevant technical field or equivalent practical experience.
- 5+ years of experience as a Cloud native expert in designing and building production grade applications and services on AWS and other cloud providers (Azure or GCP).
- Practical experience with Python development and managing complex environments with Terraform.
- Experience working with AI/ML platforms such as Amazon SageMaker, Bedrock, AgentCore and Data platforms such as S3, AWS Glue, Lake Formation.
- Proven ability to manage complex stakeholder relationships across multiple domains, including expectations management.
- Experience with agile methodologies and product development lifecycle.
- Ability to work cross-functionally with engineering, architecture, and data science teams.
- Have professional experience from working in regulated industries, i.e. Banking, Government, etc.