AI Lead / Architect

Job Title: Agentic AI Lead / Architect Location: San Diego, CA / Austin, TX / Fort Mill, SC Employment Type: Full-Time About the Company Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, and operations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast-growing clients worldwide, we work across banking & payments, wealth management, telecom, hi-tech and life sciences. Please visit the link to know about Incedo: https://www.incedoinc.com/ Job Overview We are seeking an experienced Agentic AI Lead / Architect to drive the design, development, and deployment of next-generation AI solutions. The ideal candidate will have hands-on experience building and scaling at least one production-grade Agentic AI platform , strong expertise in Python and AWS , and the ability to engage directly with clients while leading technical teams. This role will be responsible for architecting intelligent agent ecosystems, defining AI strategy, and delivering enterprise-scale AI solutions. 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 12+ 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. Preferred Qualifications Experience in Financial Services, Capital Markets, Banking, Trading, or Investment Management domains. Exposure to trading systems, market data platforms, risk management, or financial analytics. Experience implementing AI governance, security, and responsible AI practices. AWS Solutions Architect, Machine Learning, or AI-related certifications. Key Skills Agentic AI Architecture Multi-Agent Systems Generative AI & LLMs Python AWS Cloud LangGraph / CrewAI / AutoGen RAG & Vector Databases AI Observability & Evaluation Microservices & APIs Solution Architecture Stakeholder & Client Management Team Leadership Show more Show less