Application ArchitectTech Mahindra • bangalore, karnataka, in
Application Architect
Tech Mahindra • bangalore, karnataka, in
5 hours ago
Job descriptionOversee 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. 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 . 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. 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. 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. 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. 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.
Experience - 8-13 years
Location - Open
We 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 Responsibilities
1. 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
3. AI / ML & Agentic Systems
4. Cloud Architecture
5. Stakeholder & Delivery Management
6. Team Leadership
Required Skills & Expertise
Technical Skills
Soft Skills
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Application Architect • bangalore, karnataka, in
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