Ai Architect

Key Responsibilities

• Design and evolve architectures for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines.
• Establish architectural patterns for agent reliability, observability, monitoring, security guardrails, and fault tolerance.
• Lead technical design reviews and document architectural decisions through Architecture Decision Records (ADRs).
• Collaborate with ML engineers and software engineers to deliver scalable, secure, and maintainable platform components.
• Evaluate and integrate agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, and AutoGen.
• Define API contracts, data flow patterns, and integration standards across the AI platform ecosystem.
• Design and implement LLM-powered applications using prompt engineering, tool calling, and Retrieval-Augmented Generation (RAG).
• Mentor engineers on architecture best practices and production-grade AI system development.
• Evaluate architectural trade-offs to ensure high availability, graceful degradation, and reliable operation at enterprise scale.

Required Qualifications - Must Have

• 10+ years of software engineering and architecture experience.
• At least 3 years of experience designing AI/ML platform systems.
• Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or similar technologies.
• Strong expertise in distributed systems, microservices architecture, and event-driven design patterns.
• Strong API design experience, including REST and gRPC.
• Strong proficiency in Python and experience with at least one of Java, Go, or TypeScript.
• Proven experience building and deploying production-grade agentic AI systems or LLM-powered applications at scale-not just prototypes or proof-of-concepts.
• Hands-on experience with prompt engineering, tool-use patterns, RAG pipelines, and LLM integration.
• Experience implementing agent reliability, observability, monitoring, and production safeguards.
• Strong architectural decision-making, technical communication, and engineering leadership skills.