About the Role:

As an AI Solutions Architect at Raydian Cloud, you will design and implement scalable AI solutions for our enterprise clients. You’ll lead architecture design, integrate cloud platforms, and drive transformative outcomes that align technology with business goals.

Key Responsibilities:

• Architect end-to-end AI/ML systems for enterprise and government clients, ensuring performance, scalability and data sovereignty.
• Collaborate with engineering, operations and partner teams (e.g., NVIDIA, Rafay Systems) to integrate cloud/AI infrastructure across AWS, Azure, GCP and on-premise.
• Define best practices, reference architectures and governance frameworks for AI deployments in regulated industries (healthcare, finance, telecom).
• Lead client workshops, present solution roadmaps, support pre-sales and post-deployment phases.

Required Skills & Experience:

• 5+ years experience in AI/ML system design, architecture or consultancy.
• Proven expertise with cloud platforms (AWS, Azure, GCP), containerization, Kubernetes, GPU/AI infrastructures.
• Strong understanding of business drivers, regulatory/compliance constraints and how to translate them into technical solutions.
• Excellent communication and presentation skills, ability to engage with executive stakeholders.