Application Architect

Experience - 8-13 yearsLocation - OpenWe are seeking an experienced Application Architect to lead the design, development, and evolution of large-scale digital products, AI/ML platforms, and enterprise systems. The ideal candidate is a hands-on technologist with strong experience in end-to-end product engineering, solution architecture, AI/ML systems, and cloud-native platforms.This role requires a technical leader capable of working across UI/UX, middleware, microservices, data engineering, MLOps, and agentic AI ecosystems.Key Responsibilities1. Architecture & Technical Leadership- Design end-to-end enterprise systems spanning UI frameworks, API layers, microservices, middleware, databases, and cloud infrastructure.- Lead design and development of AI/ML platforms, agentic frameworks, automation workflows, and advanced analytics systems.- Translate business requirements into scalable, secure, and maintainable technical architectures.- Make high-impact decisions on system design, technology selection, performance, and fault tolerance.2. Product Engineering & Development- Oversee architecture and engineering of complex digital products—web, mobile, cloud, and data-intensive platforms.- Guide teams in building highly available systems using Python, FastAPI, Django, Node.js, React, React Native, and related technologies.- Architect data processing, ETL/ELT, and AI pipelines using Airflow, NiFi, Beam, MLFlow, etc.3. AI/ML & Agentic Systems- Design multi-agent systems using LangGraph, AutoGen, CrewAI, Google ADK, MCP, A2A.- Build GenAI workbenches, guardrail systems, RAG architectures, vector databases, embeddings, and model-driven workflows.- Integrate LLMs, SLMs, and cloud AI platforms such as AWS Bedrock, Vertex AI, OpenAI, DeepSeek, Llama, Mistral.4. Cloud Architecture- Architect scalable systems across AWS, Azure, and GCP leveraging services such as EC2, EKS, S3, RDS, Redshift, Glue, CloudSQL, Spanner, Synapse, ADLS, and more.- Implement cloud security, monitoring, cost optimization, and distributed application deployments.5. Stakeholder & Delivery Management- Collaborate with clients, business teams, and senior leadership to define technical strategies and roadmaps.- Lead agile delivery, sprint planning, technical reviews, and release management.- Drive end-to-end execution for platforms supporting large user bases and mission-critical workloads.6. Team Leadership- Lead, mentor, and manage large cross-functional teams of developers, data scientists, and engineers.- Foster best practices in coding, architecture reviews, DevOps, testing, and CI/CD pipelines.Required Skills & ExpertiseTechnical Skills- Architecture & Design: Microservices, distributed systems, event-driven architectures, API design.- Languages & Frameworks: Python, Node.js, JavaScript, React/Redux, Django, FastAPI, DRF, GraphQL.- AI Ecosystem: LangChain, LangGraph, LlamaIndex, vLLM, Triton, DeepSpeed, guardrails, vectorDBs (Milvus, Chroma, Faiss).- ML Ecosystem: Scikit-Learn, PyTorch, TensorFlow, HuggingFace Transformers, MLFlow, ONNX Runtime, HF Tokenizers, BERT/DistilBERT pipelines, model quantization (INT8/FP16), model distillation, pruning.- Mobile Ecosystem: React Native, Flutter, Native Android, Hybrid App Development.- Cloud Platforms: AWS, Azure, GCP, Digital Ocean.- Databases: PostgreSQL, MongoDB, MySQL, Redis, ElasticSearch, Neo4J, GraphDB.- Data Engineering: Airflow, NiFi, Beam, MLFlow, Airbyte.- DevOps: CI/CD, containerization, Kubernetes, monitoring, logging frameworks.Soft Skills- Excellent stakeholder communication and client management.- Strong analytical thinking and problem-solving ability.- Demonstrated leadership in large-scale delivery.- Ability to drive innovation, transformation, and platform thinking.