Agentic AI Architect

Job SummarySynechron 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.Software RequirementsRequired SkillsProficiency in agentic AI frameworks such as LangChain, AutoGen, MetaGPT (latest stable versions)Experience with Camel AI or Apache Camel (latest versions) for routing and mediationStrong expertise in cloud platforms like AWS or Azure, including containerization with Docker and orchestration with KubernetesProgramming skills in Python, Node.js, or Java (Camel DSL)API development and integration skills using REST and gRPCPreferred SkillsExperience with Retrieval‑Augmented Generation (RAG) techniques and multimodal AI systemsKnowledge of plugin/tool execution pipelines (e.g., ReAct pattern)Familiarity with vector stores, episodic memory, and context‑aware agent designOverall ResponsibilitiesArchitect and implement scalable agentic AI solutions leveraging frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex.Integrate Camel AI for intelligent message routing, event‑driven orchestration, and multi‑agent communication.Design modular, cloud‑native architectures adhering to microservices principles, preferably on AWS or Azure, using Docker and Kubernetes.Enable and facilitate multi‑agent cooperation through established protocols such as MCP (Model Context Protocol) and A2A (Agent‑to‑Agent).Lead backend orchestration efforts with programming languages including Python, Node.js, or Java, ensuring robust and maintainable codebases.Collaborate with frontend teams to ensure seamless integration via REST and gRPC APIs.Optimize system performance, scalability, and security for enterprise‑grade deployments.Mentor engineering teams, promote best practices for agentic workflows, and foster innovation within the organization.Technical Skills (By Category)Programming Languages (Required)Python, Node.js, Java (Camel DSL)Databases/Data ManagementFamiliarity with vector stores, episodic memory, and scalable data architectures (preferred)Cloud TechnologiesAWS (ECS/EKS), Azure (AKS), containerization with Docker, orchestration with KubernetesFrameworks and LibrariesLangChain, CrewAI, LangGraph, LlamaIndex, AutoGen, MetaGPTDevelopment Tools and MethodologiesAgile, DevOps practices, API development (REST, gRPC)Security ProtocolsOAuth, RBAC, Identity management best practices for secure API developmentExperience RequirementsMinimum of 5 years of experience in AI system design, development, or related fieldsProven experience with agentic AI principles including autonomous reasoning, tool utilization, and multi‑step reasoningHands‑on experience with Camel AI or Apache Camel for system integrationDemonstrated ability to design cloud‑native architectures and deploy enterprise solutions at scaleIndustry experience in AI platform development, intelligent automation, or related areas preferredDay‑to‑Day ActivitiesDesign and develop agentic AI solutions aligning with business needsLead integration efforts for messaging, orchestration, and multi‑agent communicationConduct regular code reviews, performance tuning, and security assessmentsCollaborate with cross‑functional teams including frontend developers, data scientists, and product managersDocument system designs, workflows, and best practicesProvide mentorship and guidance to engineering teams on emerging AI technologies and techniquesParticipate in strategic planning for AI platform growth and innovation initiativesQualificationsBachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferredCertifications in cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect, etc.) are a plusSuccessful completion of relevant training in AI frameworks or cloud‑native development recommendedCommitment to continuous learning in emerging AI and cloud technologiesProfessional CompetenciesCritical thinking and analytical problem‑solving skillsStrong leadership and teamwork capabilities, with the ability to mentor and inspire technical teamsExcellent communication skills, capable of engaging with stakeholders across technical and non‑technical domainsAdaptability to evolving technologies and project requirementsInnovative mindset focused on delivering impactful AI solutionsEffective time management and prioritization in fast‑paced environments.SYNECHRON’S DIVERSITY & INCLUSION STATEMENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Di