onsite
AI Solutions Architect - Direct Supply
Solutions Architect
Lead the design and delivery of scalable AI‑powered solutions for healthcare, driving innovation across engineering, product, and customer teams using Python, ML, and cloud technologies.
About the role
Key Responsibilities
- Architect end‑to‑end AI solutions that address complex healthcare challenges, ensuring scalability, reliability, and security.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and prototypes.
- Lead hands‑on development, leveraging Python, ML frameworks, and cloud services (AWS) to build and deploy models.
- Implement containerization (Docker) and orchestration (Kubernetes) for efficient model serving and infrastructure management.
- Establish CI/CD pipelines to automate testing, deployment, and monitoring of AI services.
- Advise stakeholders on best practices, emerging technologies, and architectural trade‑offs.
Requirements
- 5+ years of experience in AI/ML solution architecture or related roles.
- Proficiency in Python, ML libraries (TensorFlow, PyTorch, scikit‑learn), and data pipelines.
- Hands‑on experience with AWS services (SageMaker, Lambda, ECS/EKS) and container orchestration.
- Strong understanding of CI/CD, Git, and automated testing frameworks.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningawskubernetesdockercicd