At goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications—helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly.
We’re looking for a highly skilled Technical Architect with deep expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. In this role, you’ll lead end-to-end AI solution architecture—from PoC to enterprise-scale production, drive cloud security and scalability best practices, and work closely with multiple clients and internal delivery teams. If you love architecting robust systems, mentoring engineering teams, and building GenAI solutions that actually ship—we’d love to hear from you.
Why You? Why Now?
Enterprises are moving beyond experimentation and pushing GenAI into real production systems.
That requires architects who can think beyond models and prototypes—someone who can design secure, scalable, multi-tenant AI solutions with explicit MLOps foundations and cloud-native best practices.
This role is ideal for a leader who:
owns architectures end-to-end (not just diagrams)
can manage multiple clients / multiple programs
drives best practices in MLOps, DevOps, and cloud security
brings strong technical leadership and mentoring capabilities
What You’ll Do (Key Responsibilities)
First 30 Days: Foundation & Architecture Alignment
Deep dive into goML’s GenAI/AI/ML delivery framework, reference architectures, and deployment standards
Understand ongoing customer engagements, solution maturity, and production constraints
Review current AWS architecture patterns used across projects
Align with stakeholders on delivery expectations, system SLAs, security requirements, and scalability goals
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📌 AI Architect (India)
🏢 goML
📍 India