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
