Technical Architect - Machine Learning

Technical Architect – Machine Learning (10–15 Years)

Selection process- Screening \>\> AI Interview\>\> L1 Discussion\>\> Offer

We are looking for a senior Technical Architect to lead enterprise-scale AI strategy and architecture on Google Cloud. The role involves defining and governing large-scale AI platforms, setting architectural standards, and driving innovation across generative AI, traditional ML, computer vision, and agentic systems for Fortune 500 clients.

Role \& Responsibilities:

• Design and govern enterprise-grade AI platforms with high scalability, security, and reliability (99\.99%\+ availability)
• Define enterprise AI architecture patterns across legacy and cloud systems
• Lead architecture strategy for generative AI, agentic systems, RAG, and multi-agent platforms
• Establish MLOps/LLMOps standards including CI/CD, model governance, and monitoring
• Design AI security and compliance frameworks for regulated industries
• Architect ML and computer vision platforms at enterprise scale
• Build reusable frameworks and reference architectures for delivery acceleration
• Lead pre-sales solutioning for strategic enterprise deals
• Act as technical advisor to C-level stakeholders (CTOs, VPs, AI leaders)
• Mentor senior architects and drive engineering excellence across teams

Must-Have Skills:

• Enterprise AI/ML architecture (10–15 years experience)
• Generative AI, LLMs, RAG \& agentic systems
• Cloud platforms (strong GCP expertise preferred)
• MLOps \& LLMOps (CI/CD, model governance, monitoring)
• System design \& enterprise architecture (scalable, distributed systems)
• AI security \& compliance (GDPR, HIPAA, SOC2, PCI-DSS)
• Traditional ML \& computer vision architecture
• Knowledge graphs \& semantic search systems
• Cloud-native architecture \& legacy system integration
• Stakeholder management \& C-level technical advisory