Agentic AI Lead / Architect

San Diego, CA / Austin, TX / Fort Mill, SC Full Time Job Description Lead the architecture, design, and implementation of enterprise-grade Agentic AI platforms and applications using Generative AI, LLMs, RAG, and multi-agent architectures. Design, develop, and deploy autonomous AI agents using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, and LangChain. Build scalable, secure, highly available AI solutions on AWS, leveraging services including Bedrock, Lambda, ECS/EKS, SageMaker, API Gateway, DynamoDB, S3, and CloudWatch. Bring 10+ years of software engineering experience, including 3+ years of experience in AI/ML, Generative AI, or AI solution architecture. Demonstrate strong hands-on expertise in Python for developing scalable AI applications, services, and automation workflows. Design and implement RAG architectures, vector databases, prompt engineering, AI evaluation, and AI observability solutions. Have proven experience designing and delivering at least one production-grade Agentic AI platform within an enterprise environment. Define enterprise architecture patterns, technical standards, governance, security, monitoring, observability, scalability, and performance best practices for AI solutions. Apply strong knowledge of software architecture, distributed systems, microservices, API design, and cloud-native application development. Collaborate with business stakeholders, clients, product teams, and engineering teams to translate complex business requirements into AI-driven solutions. Lead technical teams through solution design, development, deployment, optimization, and architecture governance while mentoring engineers and driving technical decisions. Conduct client workshops, architecture reviews, technical presentations, and executive discussions, with preferred experience in Financial Services, Capital Markets, Banking, Trading, or Investment Management.