Principal Agentic AI Architect

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