GenAI Solutions Architect - SFL Scientific
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Summary
About the Role
About You
- Bachelor's degree in a relevant STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
- 4+ years of experience in designing and implementing cloud-native AI architectures (AWS, Azure, or GCP).
- 4+ years of experience in software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
- 4+ years of programming in Python with modern packages (Docker, Kubernetes, Airflow, Kafka, etc.).
- 3+ years of experience in deploying AI applications with unit and integration testing in enterprise systems.
- Master's degree in Computer Science, Engineering, or Physics, etc. or related STEM field.
- AWS/Azure Certifications (AWS/Azure Certified: Sys Ops Administrator, Dev Ops Engineer, Solutions Architect).
- 3+ years of experience deploying AI solutions in regulated or mission-critical industries (healthcare, life sciences, finance).
- 2+ years of experience applying enterprise AI governance, bias mitigation, and performance optimization techniques in production AI systems.
Benefits
- Competitive salary range of $107k–$198k.
- Eligibility to participate in a discretionary annual incentive program based on performance.
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