Lead Core Engineer / Architect

Lyzr AI; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Lyzr AI is seeking a veteran software/ platform architect to own end-to-end architectural decisions for scalable AI-driven systems in Bengaluru.

You will shape backend, frontend, and infrastructure, define standards, mentor teams, and drive AI-first architecture including MLOps, guardrails, and governance to production readiness.

Qualifications

• 10+ years of software, cloud, or platform architecture leadership experience.
• Strong backend fundamentals with Python preferred.
• Expertise in multi-tenant, distributed microservices on AWS; Azure/GCP valued.
• Proven track record delivering AI/ML/GenAI to production at scale.
• Experience with AI, ML, automation for observability and ops.
• Security/compliance in regulated environments; privacy and governance.
• Familiarity with cloud networking and cost optimization.

Responsibilities

• Own end-to-end architectural decisions across backend services, frontend platforms, and infrastructure.
• Define engineering standards, design patterns, and architectural principles that teams actually want to follow.
• Lead architecture reviews - evaluate new proposals, identify risks early, and guide squads toward the right trade-offs.
• Drive backend excellence: microservices design, API contracts, data modelling, event-driven architecture, and performance at scale.
• Partner with frontend leads to shape component architecture, state management, and web performance standards across web and app.
• Collaborate with DevOps/SRE on cloud infrastructure, deployment strategies, observability, cost and reliability best practices.
• Act as a technical mentor - build architectural thinking and engineering craft across the organisation
• Translate product ambitions and growth targets into concrete technical roadmaps with clear Milestones.
• Lead AI-first architecture: ML Ops /LLM Ops, feature stores, vector search/RAG, real-time inference, evaluation/guardrails, responsible AI, model observability and governance

Skills

Python

AWS

Microservices

Distributed systems

Architectural leadership

Cloud security

Observability

ML Ops

LLM Ops

Guardrails

Job description

About Lyzr AI

Lyzr is building the foundation layer for agentic AI systems — making it radically simpler to build, deploy, and scale intelligent agents in production.

We believe the future of software is agent-first. Not wrappers. Not demos. Real systems that reason, act, observe, and improve over time.

We’re looking for Core Engineers who want to work at the deepest layers of agentic infrastructure — the runtime, orchestration, memory, tool execution, and guardrails that power real-world AI systems.

If you’re excited by how agents actually work under the hood, this role is for you.

What You’ll Do:

• Own end-to-end architectural decisions across backend services, frontend platforms, and infrastructure - ensuring systems are scalable, resilient, and cost-efficient.
• Define and champion engineering standards, design patterns, and architectural principles that teams actually want to follow.
• Lead architecture reviews - evaluate new proposals, identify risks early, and guide squads toward the right trade-offs.
• Drive backend excellence: microservices design, API contracts, data modelling, event-driven architecture, and performance at scale.
• Partner with frontend leads to shape component architecture, state management, and web performance standards across web and app.
• Collaborate with DevOps/SRE on cloud infrastructure, deployment strategies, observability, cost and reliability best practices.
• Act as a technical mentor - build architectural thinking and engineering craft across the organisation
• Translate product ambitions and growth targets into concrete technical roadmaps with clear Milestones.
• Lead AI-first architecture: ML Ops /LLM Ops, feature stores, vector search/RAG, real-time inference, evaluation/guardrails, responsible AI, model observability and governance

What we’re looking for

• 10 or more years of experience in software, cloud, or platform architecture leadership roles.
• Strong backend fundamentals; Python preferred
• Expertise in multi-tenant, distributed, microservices based systems on AWS, experience in Azure or GCP valued.
• Proven experience designing and governing high performance, high traffic digital platforms.
• Proven delivery of AI/ML and GenAI to production at scale (ML Ops/LLM Ops, guardrails, monitoring, governance)
• Experience with AI, machine learning, and automation for intelligent operations and observability.
• Familiarity with cloud networking, security, and cost optimization best practices.
• Security/compliance in regulated environments; privacy engineering and data governance