Agentic AI Architect

<div><h3>Job Summary</h3><p>Synechron is seeking a skilled and innovative Agentic AI Architect to lead the design, development, and deployment of advanced agentic AI systems. In this critical role, you will leverage cutting‑edge frameworks and technologies to build scalable, cloud‑native AI platforms that enable autonomous reasoning, multi‑step planning, and intelligent system integrations. Your expertise will directly contribute to transforming business processes and delivering innovative solutions across various industries.</p><h3>Software Requirements</h3><h3>Required Skills</h3><ul><li>Proficiency in agentic AI frameworks such as LangChain, AutoGen, MetaGPT (latest stable versions)</li><li>Experience with Camel AI or Apache Camel (latest versions) for routing and mediation</li><li>Strong expertise in cloud platforms like AWS or Azure, including containerization with Docker and orchestration with Kubernetes</li><li>Programming skills in Python, Node.js, or Java (Camel DSL)</li><li>API development and integration skills using REST and gRPC</li></ul><h3>Preferred Skills</h3><ul><li>Experience with Retrieval‑Augmented Generation (RAG) techniques and multimodal AI systems</li><li>Knowledge of plugin/tool execution pipelines (e.g., ReAct pattern)</li><li>Familiarity with vector stores, episodic memory, and context‑aware agent design</li></ul><h3>Overall Responsibilities</h3><ul><li>Architect and implement scalable agentic AI solutions leveraging frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex.</li><li>Integrate Camel AI for intelligent message routing, event‑driven orchestration, and multi‑agent communication.</li><li>Design modular, cloud‑native architectures adhering to microservices principles, preferably on AWS or Azure, using Docker and Kubernetes.</li><li>Enable and facilitate multi‑agent cooperation through established protocols such as MCP (Model Context Protocol) and A2A (Agent‑to‑Agent).</li><li>Lead backend orchestration efforts with programming languages including Python, Node.js, or Java, ensuring robust and maintainable codebases.</li><li>Collaborate with frontend teams to ensure seamless integration via REST and gRPC APIs.</li><li>Optimize system performance, scalability, and security for enterprise‑grade deployments.</li><li>Mentor engineering teams, promote best practices for agentic workflows, and foster innovation within the organization.</li></ul><h3>Technical Skills (By Category)</h3><h3>Programming Languages (Required)</h3><ul><li>Python, Node.js, Java (Camel DSL)</li></ul><h3>Databases/Data Management</h3><ul><li>Familiarity with vector stores, episodic memory, and scalable data architectures (preferred)</li></ul><h3>Cloud Technologies</h3><ul><li>AWS (ECS/EKS), Azure (AKS), containerization with Docker, orchestration with Kubernetes</li></ul><h3>Frameworks and Libraries</h3><ul><li>LangChain, CrewAI, LangGraph, LlamaIndex, AutoGen, MetaGPT</li></ul><h3>Development Tools and Methodologies</h3><ul><li>Agile, DevOps practices, API development (REST, gRPC)</li></ul><h3>Security Protocols</h3><ul><li>OAuth, RBAC, Identity management best practices for secure API development</li></ul><h3>Experience Requirements</h3><ul><li>Minimum of 5 years of experience in AI system design, development, or related fields</li><li>Proven experience with agentic AI principles including autonomous reasoning, tool utilization, and multi‑step reasoning</li><li>Hands‑on experience with Camel AI or Apache Camel for system integration</li><li>Demonstrated ability to design cloud‑native architectures and deploy enterprise solutions at scale</li><li>Industry experience in AI platform development, intelligent automation, or related areas preferred</li></ul><h3>Day‑to‑Day Activities</h3><ul><li>Design and develop agentic AI solutions aligning with business needs</li><li>Lead integration efforts for messaging, orchestration, and multi‑agent communication</li><li>Conduct regular code reviews, performance tuning, and security assessments</li><li>Collaborate with cross‑functional teams including frontend developers, data scientists, and product managers</li><li>Document system designs, workflows, and best practices</li><li>Provide mentorship and guidance to engineering teams on emerging AI technologies and techniques</li><li>Participate in strategic planning for AI platform growth and innovation initiatives</li></ul><h3>Qualifications</h3><ul><li>Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred</li><li>Certifications in cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect, etc.) are a plus</li><li>Successful completion of relevant training in AI frameworks or cloud‑native development recommended</li><li>Commitment to continuous learning in emerging AI and cloud technologies</li></ul><h3>Professional Competencies</h3><ul><li>Critical thinking and analytical problem‑solving skills</li><li>Strong leadership and teamwork capabilities