AI & Enterprise Application Architect

RMT Engineering; Gurugram District; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Opportunity to mentor teams

Work with cutting-edge AI technology

Competitive salary

Job summary

A leading technology firm is seeking a highly skilled Architect to lead the design and delivery of AI-powered and enterprise applications. The ideal candidate will possess over 10 years of software engineering experience, with strong skills in AI/ML, architecture leadership, and the ability to create production-ready solutions from rapid proofs of concept. The role includes mentoring teams and delivering technology solutions aligned with business needs in a rapidly evolving environment.

Qualifications

• Proficient in architecture of AI and enterprise systems.
• Ability to design applications independently.
• Excellent communication and collaboration skills.

Responsibilities

• Lead architecture for AI-driven systems.
• Convert PoCs into production-ready deliverables.
• Mentor and build high-performing engineering teams.

Skills

AI/ML systems

Leadership

React

Node.js

Microservices architecture

GPU infrastructure

Education

10+ years of software engineering experience

5+ years in architecture leadership roles

Tools

NVIDIA A100/A6000 clusters

LangChain

React Native

Job description

Overview

We are looking for a highly skilled Architect who can lead the design and delivery of both AI-powered systems (including Agentic AI and GenAI applications) and enterprise Line-of-Business (LoB) applications. This role requires a visionary leader who combines deep technical expertise with business understanding, capable of designing end-to-end solutions, recommending the right infrastructure, and building strong engineering teams. You will be responsible for rapid Proof of Concept (PoC) creation, guiding the transition to production-grade systems, and ensuring timely, high-quality delivery.

Key Responsibilities

• AI & Agentic System Architecture
• Architect Agentic AI systems, including LLM orchestration, workflows, RAG pipelines, and automation.
• Evaluate and adopt modern AI frameworks, ensuring scalability and performance.
• Independently architect enterprise-grade applications aligned with business needs.
• Translate business workflows into scalable, secure, and maintainable technical solutions.
• Assess and recommend infrastructure requirements specific to AI/GenAI applications, including:
• GPU clusters and accelerators for model training/inference.
• Vector databases, caching, and data pipelines for RAG workloads.
• Scalable storage and high-throughput networking for large model handling.
• Cloud-native AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI) when suitable.
• Balance performance, cost-efficiency, and security for AI and enterprise systems.
• Work closely with stakeholders to understand business requirements.
• Be proactive and fast in building PoCs to validate ideas.
• Convert PoCs into production-ready deliverables across AI and non-AI domains.
• Build, mentor, and scale high-performing engineering teams.
• Drive scrums, sprint planning, and agile delivery practices.
• Ensure on-time, quality-driven delivery of all initiatives.
• Establish and enforce core engineering practices (CI/CD, testing, code reviews, documentation).
• Collaborate across teams to ensure alignment of technical design with business strategy.

Requirements

• 10+ years of experience in software engineering, with 5+ years in architecture leadership roles.
• Strong background in AI/ML systems and enterprise software architecture.
• Frontend: React / React Native (for both web and mobile applications).
• Backend: Node.js, APIs, microservices architecture.
• Mobile App Architecture: Android/iOS app delivery, integration with enterprise backends.
• GPU infra for AI/GenAI (NVIDIA A100/A6000 clusters, model serving stacks)
• Proven ability to design LoB applications independently.
• Experience in rapid PoC creation → production transition.
• Strong business understanding; ability to translate business needs into scalable systems.
• Excellent leadership, collaboration, and communication skills.

Nice to Have

• Experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen, etc.).
• Exposure to enterprise CRM/ERP/CCaaS solutions.
• Prior experience delivering AI + business applications in large enterprise environments.

Why Join Us?

• Lead architecture for both AI-driven systems and LoB applications.
• Work on cutting-edge AI adoption while ensuring strong enterprise system design.
• Build and mentor your own team, shaping the future of enterprise transformation.
• Own the full cycle from PoC → enterprise-grade delivery across multiple domains.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Software Development