Application Architect - AI Solutions - Immediate Joiner

Infysion Technologies; Pune District; On-site; INR 3,800,000 - 7,000,000; Full time

Job summary

Infysion Technologies is seeking an experienced Application Architect to guide customers in designing, deploying, and improving Cloud, AI, and IoT Analytics solutions. You will architect agentic AI systems, orchestrate LLM workflows, and define cloud strategies across Azure and AWS, while enforcing best engineering practices and driving enterprise-grade outcomes.

The role demands deep technical leadership, hands-on cloud and AI experience, and the ability to mentor teams across domains to

Qualifications

• 12+ years of software engineering experience with hands-on cloud architecture
• Experience in Azure/AWS cloud architecture and DevOps practices
• Define end-to-end architecture for enterprise platforms and digital transformations
• Establish architecture standards, governance, and reusable patterns
• Strong background in enterprise software architecture and design reviews

Responsibilities

• Architect agentic AI systems with LLM orchestration and RAG pipelines
• Define cloud architecture strategy (Azure/AWS) for AI solutions
• Lead and mentor architects and engineering teams
• Ensure CI/CD, testing, documentation, and best practices are followed
• Translate business workflows into scalable, secure technical solutions

Skills

Azure Cloud

AWS Cloud

LLM orchestration

LangChain

Docker

Kubernetes

Python

.NET/C#

CI/CD

Enterprise architecture

Tools

LangChain

LlamaIndex

AutoGen

Azure DevOps

Job description

Job Title: Application Architect - AI Solutions

We are seeking an experiencedarchitect to guide customers through the design, deployment, and continuous improvement of Cloud, AI, IoT Analytics Solutions.

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.

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.
• Cloud (Azure / AWS) Architecture &Strategy (AI + GenAI Focus)
• Assess and recommend Cloud (Azure / AWS) requirements, including:
• Scalable storage and high-throughput networking for large model handling.
• Cloud-native Compute, IoT, Analytics and AI services when suitable.
• 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

• 12+ years of experience in software engineering, with 5+ years of hands-on experience in Azure, AWS Cloud Architecture, Solution Design, and DevOps practices.
• Define end-to-end architecture for enterprise platforms, applications, integrations, and digital transformation initiatives.
• Establish architecture standards, governance frameworks, and reusable design patterns.
• Strong background in enterprise software architecture.
• Drive architecture reviews, technology evaluations, and solution approval processes.
• Mentor architects and technical leaders while promoting architecture best practices across the organization.
• Experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen, etc.).
• Familiarity with containerization (Docker, Kubernetes) and serverless computing.
• Strong coding skills and experience with .Net, Python, Azure, AWS

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.

Key Skills – Cloud Architect - AI Solutions

• Agentic AI concepts and implementations
• LangChain or similar LLM application frameworks
• Python, .NET Core / C#
• Containerization (Docker, Kubernetes) and Microservices architecture
• CI/CD with Azure DevOps