Cloud Architect - AI Solutions (Immediate Joiner)

Infysion Technologies; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Infysion Technologies is seeking an experienced Cloud Architect - AI Solutions to lead the design, deployment, and continuous improvement of cloud, AI, and IoT analytics solutions from Pune. The role requires guiding engineering teams to deliver end-to-end architectures that scale and perform while aligning with business strategy.

You will shape the technology roadmap, evaluate AI frameworks, and foster strong engineering practices across teams, including CI/CD, testing, and documentation, with

Qualifications

• 12+ years in software engineering with cloud/AI focus.
• 5+ years in Azure/AWS architecture and DevOps.
• End-to-end enterprise architecture design.
• Experience with LLM orchestration tools.
• Strong leadership and mentoring.

Responsibilities

• Architect Agentic AI systems including LLM orchestration and RAG pipelines.
• Independently design enterprise-grade applications aligned with business needs.
• Define cloud architecture strategy on Azure and AWS.
• Establish engineering practices: CI/CD, testing, code reviews.
• Mentor architects and lead cross-functional teams.

Skills

Leadership

Enterprise architecture

Cloud architecture

Solution design

CI/CD

Tools

LangChain

LlamaIndex

AutoGen

Docker

Kubernetes

Azure

AWS

Python

C#

Job description

Job Title: Cloud Architect - AI Solutions (Immediate Joiner)

Experience: 12+

Location: Pune (Work from Office)

About the Role

We are seeking an experienced architect 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.
• Application Architecture
  • 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.
  • Containerization (Docker, Kubernetes) for orchestration.
  • Cloud-native Compute, IoT, Analytics and AI services when suitable.
• Engineering Excellence
  • 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.
• Hands-on expertise in:
• 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

• AI/ML solution architecture
• Agentic AI concepts and implementations
• LangChain or similar LLM application frameworks
• Python, .NET Core / C#
• Azure, AWS
• API design & integration (REST)
• MLOps practices & tools (MLflow, Azure ML)
• Containerization (Docker, Kubernetes) and Microservices architecture
• CI/CD with Azure DevOps
• Data engineering fundamentals (ETL/ELT)
• Architecture design (scalability, performance, security)