Generative AI Platform Architect – Evinova
Core
Design, implement, and manage scalable cloud Generative AI and agentic system infrastructure to accelerate science-led innovations in life sciences.
Role type
Senior Generative AI Platform Architect
Builds
Global cloud ML/AI infrastructure, agentic GenAI systems, and LLMOps platforms for pharmaceutical R&D
Domain
Life Sciences / Generative AI / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AWS CDK, TypeScript, Kubernetes, Python, Foundation Models, RAG architectures, CI/CD pipelines, Cloud Architecture, Cost-benefit analysis, Microservices design
Preferred skills
Argo, Kubeflow, ECS, AgentCore, Airflow, AWS Bedrock, AWS SageMaker
Technologies
AWS (Bedrock, SageMaker, EC2, S3, RDS, Lambda), Kubernetes, Argo CD, AWS CDK, Projen
Responsibilities
Architect multi-tenant SaaS GenAI cloud infrastructure; Establish governance frameworks for agentic GenAI; Oversee Kubernetes cluster management and workflow orchestration; Automate infrastructure deployment using IaC; Conduct cost-benefit analyses of foundation models; Ensure compliance with GMLP and industry standards.
Seniority
Senior, hands-on IC
