Infysion Technologies
Website:
infysion.com
Job details:
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)
Click on Apply to know more.
