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 is 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 | Enterprise AI Platforms, GenAI, Multi-Agent Systems & Full Stack AI Solutions Location: Exton, PA (Onsite) Employment Type: Full-Time Company: SID Global Solutions Transform the Future of Enterprise AI SID Global Solutions is seeking a highly accomplished, hands-on technology leader to help build the next generation of Enterprise AI Platforms, Agentic AI Solutions, AI-Powered Applications, Intelligent Automation Platforms, and Industry-Specific AI Products. We are looking for a leader with deep expertise in: Agentic AI Generative AI (GenAI) Multi-Agent Systems Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Enterprise AI Platforms AI Copilots Intelligent Assistants AI-Powered Workflow Automation Full Stack Enterprise Application Development Enterprise Architecture Cloud-Native Engineering This role combines AI Architecture, Enterprise Solution Architecture, Full Stack Engineering, Product Development, Customer Consulting, Pre-Sales Solutioning, Innovation Leadership, and AI Practice Development. You will be responsible for building complete AI-powered business solutions that span user experience, application services, AI orchestration layers, enterprise integrations, governance frameworks, and cloud-native deployments. This position offers a significant career growth path into AI Practice Leadership, helping shape SID Global's long-term AI platform strategy, reusable agent ecosystem, enterprise solution offerings, and AI-driven business transformation initiatives. What You'll Do Agentic AI Architecture & Engineering Design and develop enterprise-scale Agentic AI and Generative AI platforms. Architect and implement AI Agents, Multi-Agent Systems, Autonomous Agents, AI Copilots, Intelligent Assistants, and Agentic Workflow Applications. Design and implement solutions using: LangChain LangGraph AutoGen CrewAI Agent Development Kit (ADK) Model Context Protocol (MCP) AI Agent Frameworks Agent Communication Protocols Agent Workflow Engines Design agent workflows, memory architectures, planning strategies, tool integrations, state management frameworks, and agent collaboration models. Build reusable AI agents, SDKs, frameworks, accelerators, reference architectures, and platform capabilities. Develop enterprise-scale Retrieval Augmented Generation (RAG) platforms leveraging semantic search, vector databases, embeddings, and enterprise knowledge systems. Design enterprise search platforms, AI knowledge bases, knowledge graphs, metadata frameworks, and content intelligence architectures. Build AI-powered decision support systems, intelligent workflow solutions, and business process automation capabilities. Design Human-in-the-Loop AI systems, approval workflows, escalation mechanisms, and responsible AI control frameworks. Lead development of intelligent automation solutions that transform business operations and enterprise workflows. Full Stack AI-Powered Enterprise Application Development Design and develop end-to-end AI-powered enterprise applications from user experience through production deployment. Build enterprise software solutions including: AI Workbenches Enterprise Portals Customer-Facing Applications SaaS Platforms Workflow Automation Platforms Knowledge Management Systems Digital Experience Platforms Operational Dashboards AI-Powered Business Applications Architect complete application ecosystems spanning: Front-End Applications Backend Services APIs Agent Orchestration Layers Enterprise Integrations Security Frameworks Data Platforms Cloud Infrastructure Develop reusable user interface components, services, APIs, integration frameworks, and platform accelerators. Integrate AI capabilities into customer-facing applications, enterprise systems, and operational workflows. Implement scalable, resilient, secure, and maintainable enterprise application architectures. Lead application modernization initiatives that embed AI into existing enterprise systems and business processes. Enterprise Architecture & Solution Design Define enterprise reference architectures, design standards, reusable patterns, and implementation frameworks. Architect end-to-end enterprise solutions spanning: AI Platforms Enterprise Applications Integration Layers Data Platforms Security Architectures Cloud Infrastructure Design AI-powered enterprise architecture patterns for intelligent automation and digital transformation. Develop enterprise integration strategies connecting AI solutions with internal and external business systems. Design application modernization strategies leveraging AI, automation, and cloud-native technologies. Establish architecture governance processes, technology standards, and engineering excellence practices. AI Operations, Governance & Platform Engineering Establish AgentOps, MLOps, LLMOps, DevSecOps, AI Observability, and lifecycle management frameworks. Implement Responsible AI, AI Governance, AI Safety, AI Guardrails, and Enterprise Security controls. Define AI reliability, monitoring, tracing, benchmarking, evaluation, and operational excellence frameworks. Design and implement: AI Monitoring Prompt Monitoring Model Monitoring Distributed Tracing Observability Platforms Performance Analytics Develop automated testing frameworks for: AI Agents Multi-Agent Systems RAG Applications Prompt Engineering Retrieval Testing Regression Testing Guardrail Validation AI Evaluation Define quality metrics for: Accuracy Groundedness Retrieval Quality User Experience Reliability Latency Business Outcomes Operational Efficiency Optimize AI systems for scalability, reliability, maintainability, security, and cost effectiveness. Customer Consulting & Business Transformation Lead executive workshops, AI strategy sessions, architecture reviews, design-thinking initiatives, and innovation engagements. Identify enterprise AI transformation opportunities across business functions and industries. Translate complex business challenges into scalable AI-powered solutions. Serve as a trusted advisor to customers and executive stakeholders. Support enterprise AI adoption programs, digital transformation initiatives, and intelligent automation strategies. Drive business process transformation through AI-powered workflow automation and decision intelligence platforms. Pre-Sales, Solutioning & Innovation Support proposal development, RFP responses, estimates, architecture recommendations, and technical solution design. Participate in proof-of-concepts, innovation programs, demonstrations, executive briefings, and customer presentations. Collaborate with Sales, Alliances, Business Development, and Delivery teams to develop new AI opportunities. Create reusable solution offerings, accelerators, reference architectures, and industry-specific AI frameworks. Contribute to product strategy, AI platform evolution, and next-generation AI service offerings. Leadership & AI Practice Development Lead architecture reviews, design governance, and engineering excellence initiatives. Mentor AI engineers, architects, developers, and technology leaders. Support hiring, capability development, technical enablement, and organizational growth. Establish AI engineering standards, delivery methodologies, and architectural best practices. Drive innovation, research, thought leadership, and market differentiation. Help shape the long-term strategy, vision, and growth roadmap for SID Global's AI Practice. Required Qualifications Professional Experience 10+ years of software engineering experience. 4+ years designing and delivering AI, Generative AI, Machine Learning, or Agentic AI solutions in production environments. Proven experience architecture and delivering enterprise-scale AI-powered applications and platforms. Demonstrated success leading enterprise architecture and complex technology initiatives. Agentic AI, GenAI & LLM Engineering Hands-on experience with: LangChain LangGraph AutoGen CrewAI Agent Development Kit (ADK) Model Context Protocol (MCP) AI Agent Frameworks Multi-Agent Architectures Agent Communication Protocols AI Copilot Architecture Agentic Workflow Solutions Experience delivering: Retrieval Augmented Generation (RAG) Enterprise Search Semantic Search Enterprise Knowledge Systems AI Knowledge Bases Intelligent Assistants AI Copilots LLM Applications Autonomous Agent Solutions Intelligent Automation Platforms Large Language Models & AI Platforms Experience with modern LLM ecosystems including one or more of the following: OpenAI Azure OpenAI Gemini Claude Anthropic Mistral Llama Hugging Face Vertex AI Azure AI Foundry Amazon Bedrock Experience with: Prompt Engineering Prompt Management Retrieval Engineering Grounded AI Systems AI Evaluation AI Safety Responsible AI AI Governance LLMOps Full Stack Application Development Strong experience building enterprise-grade software applications and SaaS platforms. Front-End Development Experience with: React ReactJS Next.js Angular TypeScript JavaScript HTML5 CSS3 Tailwind CSS Material UI Backend Development Experience with: Python FastAPI Flask Node.js Express.js Java Spring Boot .NET Core REST APIs GraphQL Enterprise Application Engineering Experience building: Enterprise Applications SaaS Platforms Workflow Automation Solutions Business Process Automation Platforms Enterprise Portals Microservices Architectures Event-Driven Architectures Distributed Systems Integration Platforms Experience implementing: Authentication Authorization Single Sign-On (SSO) Role-Based Access Control (RBAC) API Security Enterprise Identity Management Data, Knowledge & Search Architecture Experience with: Vector Databases Pinecone Weaviate Chroma FAISS Azure AI Search Enterprise Search & Knowledge Systems Enterprise Search Semantic Search Knowledge Graphs Enterprise Knowledge Management Metadata Management Information Retrieval Content Intelligence Data Platforms BigQuery Apache Spark Kafka Airflow Data Pipelines ETL / ELT Data Lakes Data Warehousing Databases PostgreSQL MySQL SQL Server MongoDB Redis Cosmos DB Cloud & Platform Engineering Experience deploying enterprise AI and business applications on at least one major public cloud platform: Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) Experience with: Docker Kubernetes CI/CD Infrastructure Automation Monitoring Platforms Observability Platforms Platform Engineering Enterprise Architecture & Operations Strong understanding of: Enterprise Architecture Solution Architecture Cloud Architecture AI Governance Responsible AI AgentOps MLOps LLMOps DevSecOps Application Security Reliability Engineering Scalability Engineering Performance Engineering Enterprise Integration Patterns Preferred Qualifications Google Cloud Platform (Highly Preferred) Experience with: Vertex AI Gemini Agent Development Kit (ADK) Cloud Run BigQuery Google Kubernetes Engine (GKE) Cloud Functions Pub/Sub Apigee Cloud-Native AI Services Azure Experience Azure AI Foundry Azure OpenAI Azure AI Search Azure Functions Azure Kubernetes Service (AKS) AWS Experience Amazon Bedrock ECS EKS Lambda Industry Experience Experience delivering AI-powered solutions in: Banking Financial Services Insurance Healthcare Public Sector Government Contact Centers Customer Service Human Resources Talent Acquisition Supply Chain Enterprise Operations Advanced AI & Product Engineering Experience with: AI Evaluation Frameworks AI Testing Methodologies Machine Learning Engineering Predictive Analytics Recommendation Systems Classification Models AI Beyond LLMs Experience building: Enterprise AI Products Customer-Facing Platforms Digital Products Agent Workbenches Knowledge Portals Workflow Automation Solutions AI-Powered SaaS Platforms What Success Looks Like The successful candidate will: ✅ Architect enterprise-scale Agentic AI platforms and Multi-Agent Systems ✅ Deliver AI-powered enterprise applications from user experience through production operations ✅ Build reusable AI agents, frameworks, accelerators, and platform capabilities ✅ Establish engineering, governance, observability, and operational excellence standards ✅