AI Architect

A strong focus on innovation and scalable analytics solutions.

• Proactive problem-solving ability for complex, data-driven business challenges.
• Deep technical expertise across advanced modeling and AI use cases.
• A strategic mindset to align analytics with business goals.
• Ability to mentor team members and drive continuous improvement.
• Strong communication and knowledge-sharing capabilities.

• Architect and implement production-grade AI agent solutions on Google Cloud Platform (GCP), with Azure as a supporting cloud environment where required.
• Design end-to-end AI systems including:
  • Agent orchestration
  • Short-term memory
  • Long-term memory
  • Context management
  • Tool integrations
  • Workflow execution
  • Evaluation pipelines
• Build and standardize architecture for production-ready AI agents, ensuring scalability, resilience, security, and maintainability.
• Define and implement AI Gateway patterns for model access, routing, authentication, rate limiting, and policy enforcement.
• Design and deploy guardrails for responsible AI, safety, compliance, prompt protection, hallucination mitigation, and output validation.
• Establish tracing and observability frameworks for AI applications using GCP-native monitoring capabilities and Dynatrace.
• Implement evaluation services for AI systems, including:
  • Model and agent performance benchmarking
  • Quality and reliability measurement
• Define and implement architecture for memory systems, including short-term conversational memory and persistent long-term memory.
• Collaborate with engineering, data, product, security, and customer stakeholders to align AI solutions with business and technical requirements.
• Lead technical discussions with different customer stakeholders, translating business needs into scalable AI architectures.
• Drive architecture decisions under aggressive timelines while maintaining delivery quality and engineering rigor.
• Ensure AI systems adhere to enterprise standards for governance, privacy, security, compliance, and operational excellence.
• Provide technical leadership, mentorship, and architecture guidance to cross-functional teams.

Experience working in onshore/offshore delivery model