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Application Architect

Actively Reviewing the Applications

Geta AI Labs Private Limited

India, Maharashtra Full-Time
Posted 22 hours ago • Apply by June 29, 2026

Job Description

We are looking for an experienced Application Architect with strong hands-on expertise in building scalable SaaS platforms and AI-powered systems. This role requires a balance of great technical skills, systems thinking, and business understanding. You will be responsible for designing robust architectures, driving engineering standards, and building systems that scale efficiently.

Responsibilities

  • Design and implement scalable, high-performance system architectures.
  • Build and scale multi-tenant SaaS or high-volume platforms.
  • Drive technical decision-making independently.
  • Improve engineering practices, system reliability, and performance.
  • Collaborate with product and business teams to translate requirements into technical solutions.
  • Mentor engineers and guide architectural best practices.

Requirements

  • Strong experience in system architecture and scalable SaaS design.
  • Hands-on expertise in backend development, cloud infrastructure, and AI/automation-heavy systems.
  • Ability to drive architecture decisions independently.
  • Practical experience preferred over purely managerial profiles.

Technical Skills

  • Programming: TypeScript / Java / Go / Python.
  • DevOps / MLOps: CI/CD pipelines.
  • Infrastructure as Code: Terraform / AWS CDK.
  • Monitoring: Logs, traces, and metrics systems.

Architecture Skills Identity And Access

  • OAuth2 OIDC, JWT.
  • SSO implementation.
  • Role-Based Access Control (RBAC).

System Design And Scalability

  • Microservices / modular/event-driven architectures.
  • Handling scale, latency, and cost optimisation.

Cloud Architecture

  • AWS / Azure / GCP.
  • Compute, networking, IAM, storage.
  • Serverless vs containerized architectures.

Multi-Tenancy

  • Designing and scaling multi-tenant systems.

APIs And Integrations

  • REST / GraphQL APIs.
  • Third-party integrations (LLMs, data services, internal systems).

Data Architecture

  • Data Pipelines: Ingestion, transformation, enrichment.
  • Processing: Batch vs streaming.
  • Storage: Relational DBs, NoSQL, data lakes/warehouses.
  • Vector Data: Hybrid search (keyword + vector).
  • Governance: Access control, auditability (enterprise-grade systems).

Nice To Have

AI & ML Integration:

(Not a pure Data Science role)

  • LLM integrations (OpenAI, Anthropic, open-source models).
  • Prompt engineering and tool/function calling.
  • RAG (Retrieval-Augmented Generation) systems.
  • Vector databases (Pinecone, Weaviate, FAISS).
  • Embeddings, chunking strategies.
  • Inference optimisation (latency vs accuracy).
  • Caching strategies (prompt and response).
  • Model lifecycle awareness (versioning, monitoring, cost control).

Product And Business Thinking

  • Strong MVP-first mindset(build fast, iterate faster).
  • Ability to makebuy vs build decisions.
  • Focus on AI features tied to business value.
  • Understanding of AI UX, guardrails, explainability, and failure handling.
  • Awareness of ROI and scalability impact.

Soft Skills

  • Translate business problems into scalable technical solutions.
  • Communicate trade-offs effectively with leadership.
  • Mentor and guide engineering teams.

This job was posted by Manasvi Chijwani from Geta AI Labs.

Required Skills

Machine Learning Python AWS Access Control Cost Control TypeScript Microsoft Azure Google Cloud Platform Terraform IAM MLOps Cloud Architecture GraphQL JWT NoSQL DevOps CI/CD System Design Anthropic RAG Data architecture OAuth 2.0 Event-driven architecture Pinecone Adobe Illustrator Data pipelines OpenAI Retrieval-Augmented Generation Prompt engineering Java Cloud Infrastructure Infrastructure as Code Weaviate LLM FAISS OpenID Connect Data scientist Serverless AI integration
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