Agentic AI Architect

Proclink; Hyderabad; On-site; INR 400,000 - 800,000; Full time

Job summary

Proclink in Hyderabad seeks a senior architect to design enterprise-grade agentic AI systems. You will translate strategic AI objectives into robust, scalable designs covering agent lifecycle, reasoning engines, and ERP/CRM integration.

You will mentor engineers, establish best practices, and evaluate frameworks such as Gogole ADK, LangChain, AutoGen, and CrewAI to drive proven, secure architectures.

Qualifications

• 10+ years in software engineering and AI/ML system development.
• 5–7 years focused on architecting complex distributed AI systems.
• Hands-on expertise in architecting Agentic AI systems.

Responsibilities

• Lead end-to-end reference architecture for enterprise-grade agentic AI systems.
• Develop architectural blueprints, patterns, and standards for AI agents across ERP/CRM/SCM/WMS.
• Provide expert guidance and oversight to development teams on AI agent projects.
• Establish engineering best practices, coding standards, and design patterns for agentic AI development.

Skills

Architectural design

Agentic AI systems

LLMs

Multi-agent systems

Distributed AI

Education

Master’s or Ph.D. in Computer Science, AI, or related field

Tools

Gogole ADK

LangChain

AutoGen

CrewAI

Job description

Candidate will be responsible for designing the foundational architecture and engineering blueprints for our next-generation AI agent ecosystems. Candidate will translate strategic AI objectives into robust, scalable, and secure technical designs, ensuring our agentic solutions effectively address complex business challenges in areas such as supply chain optimization, intelligent automation and enhanced customer/vendor experiences. Candidate will provide deep technical guidance, mentor other engineers and champion architectural best practices for building cutting-edge agentic AI systems.

Role:

• Lead the definition and design of the end-to-end reference architecture for enterprise-grade agentic AI systems, encompassing agent lifecycle management, interaction protocols, knowledge integration, and action execution frameworks.
• Develop detailed architectural blueprints, patterns, and standards for building, deploying, and integrating AI agents across diverse business domains and existing enterprise platforms (ERP, CRM, SCM, WMS).
• Design core components of the agentic ecosystem, including reasoning engines (leveraging LLMs), planning modules, perception interfaces, memory systems, and tool/API integration layers.
• Ensure architectural designs meet critical non-functional requirements, including scalability, reliability, security, maintainability, and cost-effectiveness.
• Drive the technical evaluation and selection of appropriate frameworks (e.g., Gogole ADK, LangChain, AutoGen, CrewAI), platforms, and tools for our agentic AI stack.
• Serve as a senior technical expert and thought leader on agentic AI architecture, multi-agent systems, LLM-driven autonomy, and related technologies.
• Lead the development of advanced prototypes and proof-of-concepts for core architectural components and novel agentic capabilities to validate design choices and mitigate technical risks.
• Provide expert technical guidance and architectural oversight to development teams working on specific AI agent projects.
• Collaborate with the Agentic AI Lead and other stakeholders to align architectural decisions with the overall AI strategy and roadmap.
• Establish and promote engineering best practices, coding standards,and design patterns for agentic AI development within the CoE.
• Contribute to the development of Agentic AI Tech Ops/MLOps/LLMOps strategies specifically tailored for the lifecycle management of AI agents.
• Ensure that architectural designs and implementations adhere to ethical AI principles (fairness, transparency, accountability, privacy) and relevant compliance requirements.
• Create and maintain comprehensive architectural documentation.

Required :

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related technical field.
• 10+ years of experience in software engineering and AI/ML system development, with at least 5-7 years focused on architecting and designing complex, distributed AI systems.
• Deep, hands-on expertise in architecting and implementing Agentic AI systems or autonomous intelligent agents.