AI Architect
First seen by Alion on Nov 11, 2026.
Job Title : AI Architect
Experience : 8 - 12 years
Location : Bangalore - Work From Office (WFO)
About Aerchain :
We're rewriting the rules of procurement with an AI-first platform that powers $20B+ in enterprise spend.
From $4M ARR today to $25M ARR and beyond, our mission is to build enterprise-grade, AI-first procurement software for global enterprises across manufacturing, FMCG, and services.
About the Role :
You own how AI agents are built, evaluated and governed on a source-to-pay platform running $20B+ in enterprise spend.
Agents here make decisions customers act on, so accuracy, auditability and data governance are the licence to operate.
You define the standard agents are built to, the evaluation framework behind them, and the privacy guardrails they run inside, and you make those standards easy enough that product managers follow them by default.
You work with module owners building AI-first, the architecture function, and security.
You report to the Lead Architect.
What you'll drive :
Agent Accuracy & Auditability :
- Own whether every agent across source-to-pay has a working accuracy and evaluation mechanism behind it.
- Make agent decisions auditable: what the agent did, on what basis, and how a human verifies it.
- Carry accountability for any agent that reaches production without an evaluation mechanism.
Evaluation Framework :
- Define the agent build and evaluation standard, and drive its adoption across modules.
- Make evaluation cheap enough that module owners run it by default.
- Build the framework so product managers extend it themselves.
AI Privacy & Data Governance :
- Own the privacy guardrails agents and data flows run inside.
- Maintain a clear record of what customer data each agent touches, evidenced on demand.
Standards For An AI-First Build Model :
- Define what good looks like when a product manager builds an agent, and keep the standard easy to follow.
- Keep guardrails proportionate so they catch real problems while delivery stays fast.
Discipline Roadmap & Special Projects :
- Agree the AI roadmap up front and deliver it.
- Take on AI projects beyond the running workload, from proposal through to implementation.
You'll thrive here if :
- 8 - 12 years in engineering with real ownership of ML or LLM systems running in production.
- You have built evaluation for agents whose output someone acted on, and know the failure modes.
- You hold a governance line on privacy and data while the product keeps shipping.
- You scale your impact through standards and frameworks others adopt.
- You use AI as a core part of how you work, and raise the bar for those around you.
- You stay with an agent until its accuracy is proven in production.
- Bonus: exposure to enterprise SaaS, complex B2B environments, or procurement tech.
What's In It For You :
- Full ownership of how AI is built and governed on an AI-first platform.
- A direct line to the Lead Architect and CTO, with no bureaucracy between your judgment and the decisions that matter.
- Agents making real decisions on real enterprise spend.
- A culture where problem solving, ownership, and action are rewarded, and the opposite is called out.
Ready to build Aerchain's future?
If reimagining business engines with AI and solving problems at scale excites you, let's talk.
Apply now and help us build the most agile enterprise SaaS story in the world.
Skills
Artificial Intelligence, AI Architecture, Machine Learning, LLM, AI Integration