AI Application Architect

3 days ago


Pune, India Infysion Technologies Full time

About the Role We are seeking a talented engineer to drive the design, deployment, and continuous improvement of agentic AI applications . You will own the full lifecycle of agent frameworks, including toolchain architecture, prompt engineering, data integration, and observability, ensuring production-grade AI agents. 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. LoB Application Architecture Independently architect enterprise-grade applications aligned with business needs. Translate business workflows into scalable, secure, and maintainable technical solutions. Infrastructure Strategy (AI + GenAI Focus) Assess and recommend infrastructure requirements specific to AI/GenAI applications , including: Vector databases, caching, and data pipelines for RAG workloads. Scalable storage and high-throughput networking for large model handling. Containerization (Docker, Kubernetes) for AI service orchestration. Cloud-native AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI) 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 10+ years of experience in software engineering, with 5+ years in architecture roles . Strong background in AI/ML systems and enterprise software architecture . Hands-on expertise in: · Experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen, etc.). · Experience with observability & evaluation platforms (Langfuse, LangSmith). · Familiarity with containerization (Docker, Kubernetes) and serverless computing. · Strong Python coding skills and experience with REST/gRPC API integrations. 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 – AI Application Architect AI/ML solution architecture Agentic AI concepts and implementations LangChain or similar LLM application frameworks Python, .NET Core / C# Azure (incl. Azure AI, Azure ML, ADF, Functions, Databricks) 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)



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