AI Architect

LeadSquared

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Skills

We're building the next generation of AI-powered business software.
With Lumen , we're reimagining how users interact with CRM through an intelligent interface where they can simply ask AI to take actions, retrieve knowledge, and get work done.
With Agent Studio , we're enabling businesses to build and deploy their own AI agents for real-world workflows.
And with Invorto , we're bringing AI to voice, powering intelligent voice agents for customer and operational use cases.
This is a chance to work on hard problems across LLMs, agents, orchestration, and reliability, building zero-to-one, owning your area end-to-end, and shipping to production at scale.

Architect and design multi-agent platforms and systems that operate reliably at production scale
Define the technical approach for retrieval-augmented generation (RAG), vector search, and knowledge grounding across our AI products
Set architectural standards for LLM orchestration, agent-to-agent communication, tool use, memory, and reasoning pipelines
Evaluate and select the right vector databases, retrieval strategies, and model choices for different product needs
Partner closely with engineering teams to translate architecture into production-grade, scalable implementations
Drive decisions on system reliability, latency, cost, and security for AI-driven workflows used by enterprise customers
Work directly with customers and internal stakeholders to understand requirements and ensure the architecture supports real-world business use cases
Stay hands-on — prototyping, reviewing code and designs, and solving hard technical problems alongside the team
Keep the architecture current with the fast-evolving LLM and agentic AI landscape

5–8 years of experience in software/AI engineering, with demonstrated experience designing and architecting multi-agent platforms at production grade

Deep understanding of LLMs — prompting, fine-tuning, evaluation, and production deployment considerations
Practical experience with RAG architectures and vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or similar)
Proven experience taking AI systems from design to production at scale, with a strong focus on reliability and performance
Strong system design skills, with the ability to make sound architectural trade-offs in a fast-moving environment
Note: This is a customer-facing role, and strong communication skills are essential.