Technical Architect

Gramener, A Straive Company

Hyderabad

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

A leading tech firm in Hyderabad seeks a Tech Lead / Architect to drive the design and delivery of scalable data applications using Generative AI. The ideal candidate will have extensive experience in Python application development, architectural leadership, and cloud platforms. This role is essential for ensuring effective and innovative solutions in AI/ML environments.

Qualifications

8+ years of experience in software engineering.
4 years in a technical leadership or architecture role.
Strong understanding of DevOps practices.

Responsibilities

Lead the end-to-end architecture of Python-based applications.
Guide backend and infrastructure teams in implementing architecture.
Evaluate tools and frameworks for AI/ML integration.

Skills

Python application development

Architectural design

GenAI knowledge

Microservices architecture

Cloud platform familiarity

Tools

FastAPI

Flask

Django

Docker

Kubernetes

Job description

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Tech Lead / Architect – Python Applications with GenAI Integration:

We are seeking a highly experienced Tech Lead / 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.

Key Responsibilities:

Lead the end-to-end architecture and design of Python-based applications integrated with GenAI capabilities.
Translate business and product requirements into modular, scalable, and maintainable technical solutions.
Guide and mentor backend, infrastructure, and MLOps teams in implementing architecture blueprints.
Evaluate and recommend the right mix of tools, frameworks, and platforms – including LLM providers, vector databases, and cloud-based ML services.
Ensure the security, scalability, and performance of all deployed systems.
Stay current with advancements in GenAI, and proactively bring relevant capabilities into solution design.

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.
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.