Technical Architect/Python Architect

Straive; New Delhi; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Straive in Delhi seeks an Architect Full Stack + Gen AI to drive architecture and delivery of modern data applications powered by GenAI. You will lead solution design, architectural leadership, and cross-functional collaboration across AI/ML platforms, backend engineering and cloud-native infrastructure.

A strong hands-on background in Python-based development is essential, with 8+ years in software engineering and at least 4 years in a leadership or architecture role.

Qualifications

• 8+ years of software engineering experience.
• 4+ years in a technical leadership or architecture role.
• Proven backend experience with Python frameworks.

Responsibilities

• Lead architecture design for GenAI-powered data applications.
• Drive cross-functional collaboration across AI/ML, backend, and cloud teams.
• Ensure scalable, secure, and observable microservice ecosystems.

Skills

Python programming

Async programming

JavaScript basics

GenAI architecture

Tools

FastAPI

Flask

Django

AWS

Azure

GCP

Docker

Kubernetes

SageMaker

Vertex AI

Azure ML

Pinecone

FAISS

Job description

Location: Delhi

Job Type: Full Time

Job Mode: 5 days WFO

Total Experience: 12+ Years

Job Description:

Architect Full Stack + Gen AI

Mandatory skills/concepts:

• Python solid experience


• Experience in Python advanced Concepts


• ASYNC Functions


• Data cache


• Minimum exp in JavaScript

Architect– Python Applications with GenAI Integration

We are seeking a highly experienced Architect to drive the architecture and delivery of modern, scalable data applications powered by Generative AI (GenAI). This role focuses on solution design, architectural leadership, and cross-functional collaboration across AI/ML platforms, backend engineering, and cloud-native infrastructure.

While hands-on AI/ML development is not expected, candidates must demonstrate deep architectural understanding of the GenAI stack. A strong hands-on background in Python-based application development is essential.

Required Experience:

• 8+ years of experience in software engineering, with a minimum of 4 years in a technical leadership or architecture role.


• Proven track record in building robust Python-based backend systems, using frameworks such as FastAPI, Flask, or Django.


• Expertise in microservices architecture, distributed system design, and integration patterns.


• Strong familiarity with cloud platforms such as AWS, Azure, or GCP, and practical knowledge of AI/ML services like SageMaker, Vertex AI, or Azure ML.


• Architectural experience with vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant) for semantic search and RAG pipelines.


• Understanding of DevOps practices, including Docker, Kubernetes, and infrastructure as code.


• Knowledge of CI/CD processes, system security, and observability/monitoring frameworks.

GenAI & AI/ML Architecture Knowledge:

• Sound understanding of GenAI system components, including LLM lifecycles, embedding generation, prompt orchestration, and RAG architectures.


• Ability to architect complete GenAI workflows, from context ingestion and enrichment to inference handling and post-processing.


• Familiarity with API orchestration, agent-based design patterns, and semantic search strategies.


• While direct data science work is not required, a strong grasp of AI/ML engineering principles and pipeline design is expected to ensure architecture aligns with model and data needs.