onsite
Senior Cloud AI Architect - PTS
Software Engineer
Lead the design and deployment of secure, scalable AI solutions on cloud platforms, guiding cross‑functional teams, defining architecture standards, and ensuring ethical, production‑ready machine‑learning pipelines.
About the role
Key Responsibilities
- Design and implement end‑to‑end AI/ML architectures on public cloud environments (AWS, Azure) that meet security, scalability, and compliance requirements.
- Lead a multidisciplinary team of data scientists, engineers, and DevOps specialists, planning resources, tracking progress, and delivering technical documentation.
- Develop reusable AI services and pipelines using Python, TensorFlow, and container orchestration (Kubernetes, Docker).
- Establish best practices for model governance, monitoring, and ethical AI, ensuring bias mitigation and explainability.
- Collaborate with stakeholders to translate business problems into technical AI solutions and provide technical mentorship to junior staff.
Requirements
- 10+ years of experience in cloud architecture and AI/ML solution delivery.
- Deep expertise with AWS or Azure services (SageMaker, AI Platform, serverless compute, networking, IAM).
- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch; experience building CI/CD pipelines for model deployment.
- Strong knowledge of containerization, Kubernetes, and infrastructure‑as‑code (Terraform, CloudFormation).
- Demonstrated ability to lead technical teams, manage project timelines, and communicate complex concepts to non‑technical audiences.
Skills
awsazurekubernetespythontensorflowmachine learning