Senior Applied AI Engineer at GSK delivering high - impact AI/ML solutions aligned with R&D priorities. Collaborating with cross - functional teams to build and deploy machine learning models for drug discovery.
About the role
- Design and deliver distributed architectures for cloud-based enterprise systems at Kyndryl. Integrate Agentic AI capabilities and collaborate with teams for robust solutions.
Responsibilities
- Design and deliver distributed architectures for large-scale, cloud-based enterprise systems (AWS, Azure, GCP).
- Integrate Agentic AI capabilities into enterprise software.
- Act as a technical authority, setting standards for security, scalability, and performance, ensuring poor code or weak architecture is prevented from entering production.
- Translate vague customer requirements into actionable technical designs.
- Lead discussions, challenge ideas, and align teams on a clear technical direction.
- Collaborate with engineers and stakeholders to ensure timely delivery of MVPs and production-ready solutions.
Requirements
- Native Japanese proficiency or equivalent
- Strong programming skills in Python and experience with Rust, C++, or C#.
- Expertise in distributed systems architecture and cloud-native design.
- Familiarity with graph theory, data drift, and AI integration, embedding AI into software.
- Interest or experience in delivering enterprise-grade software platforms.
- Ability to communicate architectural vision clearly and confidently with customers.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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