Agentic AI Lead / Architect

Key Responsibilities • Lead the architecture, design, and implementation of enterprise-grade Agentic AI platforms and applications. • Build and deploy autonomous AI agents leveraging LLMs, RAG, multi-agent orchestration frameworks, and workflow automation. • Design scalable, secure, and highly available AI solutions on AWS cloud services. • Collaborate with business stakeholders, clients, product teams, and engineering teams to translate business requirements into AI-driven solutions. • Define architecture patterns, best practices, governance, monitoring, and AI observability standards. • Drive technical decision-making across AI/ML, cloud infrastructure, vector databases, and agent frameworks. • Mentor and guide engineering teams through solution design, development, deployment, and optimization. • Lead client discussions, technical workshops, architecture reviews, and executive presentations. • Ensure AI solutions meet enterprise standards for security, compliance, scalability, and performance. • Stay current with emerging trends in Generative AI, Agentic AI, LLMs, and cloud-native architectures. Required Qualifications • 10+ years of overall software engineering experience with at least 3+ years in AI/ML or Generative AI solution architecture. • Strong proficiency in Python with experience building scalable AI applications. • Deep expertise in AWS services including Lambda, ECS/EKS, Bedrock, SageMaker, API Gateway, DynamoDB, S3, CloudWatch, and related cloud-native services. • Proven experience designing and delivering at least one production-grade Agentic AI platform in an enterprise environment. • Hands-on experience with: • Large Language Models (OpenAI, Claude, Llama, Bedrock Models, etc.) • Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain) • RAG architectures and vector databases • Prompt engineering, AI evaluation, and observability • API design and microservices architecture • Strong knowledge of software architecture, distributed systems, and scalable application design. • Experience leading technical teams and driving architecture governance. • Excellent communication, stakeholder management, and client-facing presentation skills.