NextloopTechnologies

Solution Architect

Gurugram | 08/Jul/2026

About the job

We are looking for an experienced Solution Architect to lead the design and implementation of enterprise-grade Agentic AI platforms powered by Large Language Models (LLMs). The ideal candidate will have a strong software engineering background with extensive architecture experience in designing scalable, secure, and production-ready AI solutions. You will be responsible for architecting multi-agent AI systems, integrating AI capabilities with enterprise applications, establishing engineering standards, and driving end-to-end solution delivery for large-scale enterprise customers. This role requires expertise in modern AI frameworks, cloud-native architecture, enterprise integrations, and stakeholder management while mentoring engineering teams and influencing strategic technology decisions.

Responsibilties

  • Enterprise AI Architecture: Design and architect enterprise-scale multi-agent AI platforms capable of supporting production workloads.
  • Define architecture for agent orchestration inter-agent communication memory management tool calling planning and autonomous workflows.
  • Design reusable AI frameworks, SDKs, templates, and reference architectures to accelerate solution delivery.
  • AI Engineering & Agentic AI: Build foundational AI agents and reusable components using modern Agentic AI frameworks.
  • Architect Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management.
  • Design prompt engineering strategies structured output's tool/function calling and workflow orchestration.
  • Define evaluation frameworks for LLM quality, accuracy, and safety.
  • Enterprise Integrations: Design secure integrations with enterprise platforms including Salesforce Microsoft Dynamics SAP ServiceNow CRM Platforms ERP Systems ITSM Platforms using: REST APIs Event-driven architectures Model Context Protocol (MCP) Enterprise SDKs Custom Connectors Platform.
  • Security & Governance Design enterprise AI platforms with emphasis on: Multi-tenancy Identity & Access Management LLM Guardrails Prompt Injection Protection PII Detection & Masking Data Governance Agent Monitoring Audit Logging Observability Reliability Compliance with enterprise security standards Cloud Architecture.
  • Design highly available AI platforms on AWS and/or Azure using: Containers Kubernetes Serverless Computing Event-driven Architectures Infrastructure as Code (Terraform/CloudFormation/Bicep) Vector Databases Leadership & Stakeholder Management.
  • Define engineering standards, architecture principles, coding guidelines, and best practices.
  • Mentor AI engineers and conduct architecture and code reviews. Collaborate with business stakeholders, project managers, and client leadership to convert business problems into AI-driven solutions.
  • Lead solution estimation, technical planning, risk assessment, and architecture governance..

Required Qualification

  • 12+ years of software engineering experience with progression into architecture roles.
  • Proven experience delivering at least one production-grade enterprise multi-agent AI platform.
  • Minimum 3 years of hands-on experience with Generative AI and Large Language Models.
  • Strong experience designing secure, scalable, cloud-native AI solutions.
  • Experience integrating enterprise applications such as Salesforce SAP Microsoft Dynamics ServiceNow and other enterprise systems.
  • Strong communication, consulting, stakeholder management, and leadership skills.
  • Programming: Python (Mandatory) TypeScript / Node.js (Preferred) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering Structured Outputs Tool Calling Multi-model Integration.
  • Agentic AI Frameworks: Hands-on experience with one or more LangGraph CrewAI AutoGen OpenAI Agents SDK Amazon Bedrock Agents Semantic Kernel.
  • AI Architecture: Multi-Agent Orchestration Agent Communication Memory Management State Management Human-in-the-Loop Workflows AI Evaluation Frameworks Enterprise Integration REST APIs Model Context Protocol (MCP) API Gateways Event Streaming Enterprise Messaging Cloud Platforms: AWS Azure Experience with: Containers Kubernetes Serverless Computing.
  • Infrastructure as Code Vector Databases Software Engineering.
  • CI/CD Automated Testing Design Patterns Microservices.
  • Distributed Systems Enterprise Architecture Strong understanding of: Scalability High Availability Disaster Recovery (DR) Business Continuity Planning (BCP) Zero Trust Architecture OWASP Top 10 OWASP LLM Top 10..

Skills

Python (Mandatory) TypeScript / Node.js (Preferred).
Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering.
LangGraph CrewAI AutoGen OpenAI Agents SDK Amazon Bedrock Agents Semantic Kernel.
Multi-Agent Orchestration Agent Communication Memory Management.

Gurugram , Hybrid | Contract