AI Application Architect

1 week ago

New Delhi, India Infysion Technologies Full time

About the RoleWe 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 toproduction-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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