AI Architect

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.

Required Skill and Experience

• 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:

o Agent orchestration

o Short-term memory

o Long-term memory

o Context management

o Tool integrations

o Workflow execution

o 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:

o Offline evaluation

o Online evaluation

o Model and agent performance benchmarking

o 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.

Preferred Skill and Experience

Experience working in onshore/offshore delivery model

Additional Required Qualifications