Agentic AI Architect

7 Minutes ago • All levels
Research Development

Job Description

Synechron is seeking an Agentic AI Architect to lead the design, development, and deployment of advanced agentic AI systems. This pivotal role involves leveraging cutting-edge frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex, integrating intelligent messaging, event-driven orchestration, and multi-agent collaboration. The architect will create scalable, cloud-native AI platforms that empower autonomous reasoning, multi-step planning, and intelligent system integrations, while also optimizing system performance and mentoring engineering teams.
Good To Have:
  • Experience with Retrieval-Augmented Generation (RAG) techniques and multimodal AI systems.
  • Knowledge of plugin/tool execution pipelines (e.g., ReAct pattern).
  • Understanding of vector stores, episodic memory, and context-aware agent designs.
  • Prior experience working on enterprise AI platforms or intelligent task management systems.
Must Have:
  • Architect and implement agentic AI solutions leveraging frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex.
  • Integrate Camel AI for intelligent message routing, event-driven orchestration, and sophisticated agent communication.
  • Design modular, cloud-native architectures utilizing microservices principles, preferably on AWS or Azure, employing Docker and Kubernetes.
  • Enable multi-agent cooperation through protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent).
  • Lead backend orchestration efforts using Python, Node.js, or Java (Camel DSL).
  • Collaborate with frontend teams to ensure seamless integration via REST and gRPC APIs.
  • Optimize system performance, scalability, and maintainability for enterprise-grade deployments.
  • Mentor engineering teams, establish best practices for agentic workflows, and foster innovation.
  • Deep expertise in agentic AI principles: autonomous reasoning, memory management, tool utilization, and multi-step reasoning.
  • Proven experience with Camel AI or Apache Camel for routing, mediation, and integration.
  • Strong proficiency with LLM orchestration tools including LangChain, AutoGen, MetaGPT, etc.
  • Solid understanding of event-driven architecture, containerization, and deployment platforms like ECS/EKS.
  • Experience designing secure APIs, implementing RBAC, OAuth, and managing identity securely.
  • Familiarity with frontend-backend integration within SaaS environments, especially with frameworks like React, Next.js, or Vue.js.
Perks:
  • Flexible workplace arrangements
  • Mentoring
  • Internal mobility
  • Learning and development programs

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About the Role

We are seeking a talented Architect to lead the design, development, and deployment of advanced agentic AI systems. In this pivotal role, you will leverage cutting-edge frameworks such as LangChain, CrewAI, LangGraph, or LlamaIndex, integrating intelligent messaging, event-driven orchestration, and multi-agent collaboration. Your expertise will enable the creation of scalable, cloud-native AI platforms that empower autonomous reasoning, multi-step planning, and intelligent system integrations.

Key Responsibilities

  • Architect and implement agentic AI solutions leveraging frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex.
  • Integrate Camel AI for intelligent message routing, event-driven orchestration, and sophisticated agent communication.
  • Design modular, cloud-native architectures utilizing microservices principles, preferably on AWS or Azure, employing Docker and Kubernetes.
  • Enable multi-agent cooperation through protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent).
  • Lead backend orchestration efforts using Python, Node.js, or Java (Camel DSL).
  • Collaborate with frontend teams to ensure seamless integration via REST and gRPC APIs.
  • Optimize system performance, scalability, and maintainability for enterprise-grade deployments.
  • Mentor engineering teams, establish best practices for agentic workflows, and foster innovation.

Required Skills & Qualifications

  • Deep expertise in agentic AI principles: autonomous reasoning, memory management, tool utilization, and multi-step reasoning.
  • Proven experience with Camel AI or Apache Camel for routing, mediation, and integration.
  • Strong proficiency with LLM orchestration tools including LangChain, AutoGen, MetaGPT, etc.
  • Solid understanding of event-driven architecture, containerization, and deployment platforms like ECS/EKS.
  • Experience designing secure APIs, implementing RBAC, OAuth, and managing identity securely.
  • Familiarity with frontend-backend integration within SaaS environments, especially with frameworks like React, Next.js, or Vue.js.

Preferred Qualifications

  • Experience with Retrieval-Augmented Generation (RAG) techniques and multimodal AI systems.
  • Knowledge of plugin/tool execution pipelines (e.g., ReAct pattern).
  • Understanding of vector stores, episodic memory, and context-aware agent designs.
  • Prior experience working on enterprise AI platforms or intelligent task management systems.

Why Join Us?

You will work at the forefront of AI innovation, solving complex challenges across diverse industries. This role offers a unique opportunity to shape the future of intelligent systems in a collaborative, growth-oriented environment.

DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and we are proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

About Us

At our company, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Our progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, we have a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

For more information on the company, please visit our website

or LinkedIn

community.

Sustainability and Health Safety Commitment

We are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.

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