Job Description
In this role, you have the opportunity to contribute towards the AI (Artificial Intelligence) Solutions Roadmap with responsibility of Architecture of a range of AI Solutions & Platform for DXR. In this role you will contribute towards the innovation of AI Solutions and explore different internal and external providers, work on associated processes and procedures, Participate and lead the innovation studies, develop, maintain technology inventory along while keeping focus on execution.
You are responsible for
- Elicits and analyses the stakeholder requirements
- Prepares proposals and alternatives, guiding towards optimum balance of short-& long-term requirements, for discussion with major stakeholders.
- Manages the technical and safety risks.
- Creates the AI architecture in a modular, easy to maintain and extendible components and modules, and guards and manages the architecture
- Detects common architectural and functional components to enable reuse and maintainability
- Determines and manages the external and internal interfaces framework in cooperation with all interface stakeholders from AI solutions standpoint
- Advises on realization, planning, and budgets
- Obtain and maintains internal and external network for knowledge build-up.
- Brings experience in AI, Cloud computing, Big Data & Analytics solution implementations, and realization in healthcare domain.
- Drives IP Assessments, Product Security Assessments and supports Regulatory approval roadmaps.
To succeed in this role, you should have the following skills and experience
- Master/Bachelor in related Engineering discipline
- Preferably 15+ years of experience in building products and services as part of Engineering teams in engineering positions
- Ability to run complex program management at a global scale, including cross-project planning and resource orchestration, as well as the ability to consistently identify and drive program enhancements.
- Able to reach a solution within a complex and very often conflicting business requirements in line with business strategy and development.
- Domain expertise in one of the Data-specific areas, such as SQL Server, deployments and migrations to the cloud, Open-source database deployments and migrations, Cloud Scale Analytics, Data Governance, etc.
- Familiarity with Software development practices like DevOps and CI/CD tool chains (i.e., Azure Developer Services, GitHub etc.)
- Familiarity with working on AI platform, Cloud Computing & solutions
- Working knowledge of Network security, Risk management, and DFMEA
- Knowledge of virtual networks, Web Services and APIs is preferred
- Has in depth trade-off skills to select cost effective and most suitable hardware for AI applications e.g. Serial processing vs Parallel processing
- Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs.
- Experience in healthcare domain is preferred