Job Description :Responsibilities include :Agentic AI Architecture & Platform Engineering :- Design and architect scalable, enterprise-grade agentic AI platforms and solutions.- Define agent orchestration patterns, runtime architecture, workflows, and multi-agent communication mechanisms.- Architect prompt engineering frameworks, tool calling, connectors, and model integration strategies.- Design memory management, state persistence, and context management mechanisms.- Evaluate and implement RAG architectures and vector database integrations wherever applicable.LLM & AI Integration :- Design and integrate LLM-based applications using leading commercial and open-source models.- Establish model integration patterns, routing, fallback mechanisms, and model selection strategies.- Define reusable components and frameworks for agent development and deployment.- Optimize model performance, latency, scalability, and token consumption.AI Evaluation, Monitoring & Observability :- Define evaluation frameworks to measure agent accuracy, reliability, consistency, and performance.- Establish mechanisms for testing prompts, tools, workflows, and end-to-end agent behaviour.- Implement telemetry, monitoring, tracing, and observability for agentic systems.- Define mechanisms to identify hallucinations, failures, and performance bottlenecks.AI Safety, Security & Governance :- Identify and address security and governance gaps in agentic AI architectures.- Establish guardrails for responsible AI implementation, including access controls and data protection.- Define policies for tool permissions, human-in-the-loop controls, and agent execution boundaries.- Ensure appropriate compliance, auditability,



and governance standards are incorporated into the architecture.Technical Leadership & Architecture Assessment :- Assess existing AI and agentic platform architectures and map technical dependencies.- Identify architecture gaps, integration challenges, scalability risks, and opportunities for improvement.- Recommend target-state architecture and implementation roadmaps.- Collaborate with engineering, product, and business stakeholders to translate requirements into technical solutions.- Provide technical guidance and architectural direction to engineering teams.Primary Skills :- 5+ years of experience in software architecture, AI engineering, platform engineering, or related technical roles, including recent hands-on experience building LLM-powered and agentic AI systems.- Robust understanding of agent orchestration frameworks, agent runtimes, multi-agent systems, and workflow automation.- Hands-on experience with LLM integrations, prompt engineering, function calling, and tool orchestration.- Experience designing memory, state management, context handling, and RAG-based architectures.- Knowledge of vector databases, embeddings, semantic search, and retrieval mechanisms.- Experience implementing AI guardrails, evaluation frameworks, and observability solutions.- Strong understanding of AI security, governance, data privacy, and responsible AI principles.- Ability to assess complex architectures, identify dependencies, and recommend scalable technical solutions.- Strong communication and stakeholder management skills.Secondary Skills :- Experience with frameworks and platforms such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.- Exposure to cloud-based AI ecosystems such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.- Experience with vector databases such as Pinecone, Weaviate, Qdrant, or Azure AI Search.- Familiarity with agent evaluation tools, tracing, and monitoring frameworks.- Experience designing enterprise AI platforms with security, scalability, and cost optimization considerations. (ref:hirist.tech)

📌 Reflections Info Systems - Lead AI/Agentic Platform Architect (Thiruvananthapuram)
🏢 Reflections Info Systems P
📍 Thiruvananthapuram