Agentic AI Lead / Architect

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.

Requirements

• 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.