Responsibilities
- Lead the creation and refinement of cloud-based infrastructure and machine learning operations workflows
- Build and deploy secure, automated artificial intelligence systems, including generative AI, retrieval-augmented generation, prompt engineering, and Copilot features
- Design integration architectures using RESTful APIs, event-driven models, webhooks, and custom connectors
- Develop full lifecycle applications and Power Platform tools connected to cloud services on Azure
- Oversee cloud platforms on Azure or AWS, including container management with Kubernetes, AKS, and Docker, alongside continuous integration and deployment pipelines
- Work closely with data science, engineering, and development teams to align technical delivery with project goals
- Maintain system performance, regulatory compliance, and automated monitoring for ongoing operations
- Offer technical direction, create documentation, and mentor less experienced team members
- Convert business requirements into scalable technical designs while supporting information security standards
- Lead software construction and release processes in dynamic settings with configuration management across multiple environments
Work Arrangement
Hybrid
Other
- Flexible/remote working available
- Understanding of life events and individual circumstances
- Equal opportunities employer
- Committed to building a diverse, inclusive and respectful workplace
- Reasonable adjustments available upon request
- Contact for accommodations: ekta.bahl@version1.com
