Application Architect - AI Solutions - Immediate Joiner

Job Title: Application Architect - AI Solutions
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)

Work arrangement
Hybrid