About SIDGS:
SID Global Solutions is a premier AI-first digital transformation company, delivering intelligent full-stack solutions and services worldwide. We specialize in embedding AI across the enterprise to accelerate transformation, modernize technology, and unlock new revenue streams. Our core expertise spans AI-powered modernization, cloud and infrastructure solutions, application innovation, and advanced data analytics. As a leading Google Apigee implementation partner, we also bring you SAMi-Smart API Monetization Platform our flagship platform for API management. With a global footprint and 1000+ professionals, SID Global Solutions is committed to building a smarter, AI-driven future through innovation and impact.
Role: Principal Agentic AI Architect
Location: Exton, PA (Onsite) | Full-Time
Company: SID Global Solutions
SID Global Solutions is seeking a hands-on Principal Agentic AI Architect to lead the design and delivery of enterprise-scale Agentic AI, GenAI, multi-agent systems, and AI-powered applications.
Key Responsibilities:
• Architect Agentic AI, GenAI, RAG, AI Copilot, and multi-agent solutions.
• Build end-to-end AI applications spanning UI, APIs, orchestration, integrations, data, security, and cloud infrastructure.
• Develop reusable AI agents, frameworks, accelerators, and enterprise reference architectures.
• Establish AgentOps, MLOps/LLMOps, observability, AI governance, Responsible AI, and security standards.
• Lead customer architecture discussions, solutioning, POCs, and AI transformation initiatives.
• Mentor engineering teams and help shape Global’s AI practice and platform strategy.
Required Experience:
• 10+ years in software engineering, including 4+ years delivering AI/ML, GenAI, or Agentic AI solutions.
• Strong hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, ADK, MCP, RAG, and multi-agent architectures.
• Experience with LLM platforms such as OpenAI/Azure OpenAI, Gemini, Claude, Vertex AI, Azure AI Foundry, or Amazon Bedrock.
• Full-stack expertise across React/Angular/Next.js, Python/FastAPI, Node.js, Java/Spring Boot, or .NET.
• Experience with vector databases, enterprise search, APIs, microservices, Kubernetes, Docker, CI/CD, and cloud-native architecture.
• Strong cloud experience across Google Cloud Platform, Azure, or AWS; Google Cloud Platform/Vertex AI experience is highly preferred.
Career Path:
Principal Agentic AI Architect → AI Practice Lead → Director, AI Engineering & Platforms → Global Head of AI Practice / Chief AI Architect
