AI Architect

illumifin Corporation

Hyderabad, Pune District, Bengaluru

Hybrid

INR 4,000,000 - 6,000,000

Full time

8 days ago
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Job summary

illumifin Corporation is seeking a hands-on AI Architect to design and implement enterprise-scale AI solutions from scratch to production. You will lead AI orchestration across models, agents, APIs, and data platforms while coding and prototyping aggressively.

The ideal candidate has strong experience building and deploying scalable GenAI/LLM architectures, with emphasis on data integration, security, and cost optimization.

Qualifications

  • Technically very strong with proven hands-on AI architecture and coding experience.
  • Experience in AI/LLM orchestration, Agentic AI, GenAI, RAG, APIs/microservices and cloud AI platforms.
  • Proven record of building and deploying enterprise AI platforms/products from the ground up.
  • Strong data architecture/integration understanding.
  • Owned the actual technical solution, not just project management.

Responsibilities

  • Architect and implement end-to-end AI solutions from scratch.
  • Design robust AI orchestration across models, agents, APIs, data platforms and enterprise applications.
  • Build scalable GenAI/LLM, Agentic AI, ML and enterprise AI architectures.
  • Remain hands-on with coding, prototyping and technical implementation.
  • Own architecture across data ingestion model/LLM layer orchestration APIs/integration deployment monitoring.
  • Drive technical decisions around scalability, security, performance, reliability and cost.
  • Define reusable AI architecture/frameworks and take solutions through PoC to enterprise production.
  • Mentor engineering teams while continuing to contribute technically.

Skills

Hands-on AI architecture
AI orchestration
GenAI/LLM
APIs & microservices
Cloud AI platforms

Job description

AI Architect / Principal AI Architect

We are looking for a highly hands-on AI Architect who can architect, code, and implement enterprise-scale AI solutions from scratch to production. The ideal candidate should combine deep AI engineering expertise with strong AI orchestration, system architecture, coding, integration, and product ionization capabilities.

Key Responsibilities
  • Architect and implement end-to-end AI solutions from scratch, not just design/consult.
  • Design robust AI orchestration across models, agents, APIs, data platforms and enterprise applications.
  • Build scalable GenAI/LLM, Agentic AI, ML and enterprise AI architectures.
  • Remain hands-on with coding, prototyping and technical implementation.
  • Own architecture across data ingestion model/LLM layer orchestration APIs/integration deployment monitoring.
  • Drive technical decisions around scalability, security, performance, reliability and cost.
  • Define reusable AI architecture/frameworks and take solutions through PoC to enterprise production.
  • Mentor engineering teams while continuing to contribute technically.
Ideal Profile
  • Principal Architect / Principal AI Architect / Solution Architect level.
  • Technically very strong with proven hands-on AI architecture and coding experience.
  • Strong experience in AI/LLM orchestration, Agentic AI, GenAI, RAG, APIs/microservices and cloud AI platforms.
  • Proven record of building and deploying enterprise AI platforms/products from the ground up.
  • Strong data architecture/integration understanding is highly preferred.
  • Should have owned the actual technical solution, rather than primarily managing projects, vendors or client engagements.
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