About the role
Home NU0072 Software Architect 10 - 15 Years Head Office Full-Time At Nurix AI , we are pioneering the Autopilot Enterprise . Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of complex reasoning, contextual understanding, and end-to-end workflow ownership. Backed by $27.5M in funding from Accel, General Catalyst, and Meraki Labs , and led by Mukesh Bansal , we are India’s first scaled enterprise AI company, delivering cutting-edge AI solutions that integrate seamlessly into workflows across industries like Retail, Insurance, Education & Home Services . Join us in shaping the future of enterprise AI - where every interaction is smarter, faster, and human-like. As Software Architect at Nurix AI , you will be the cornerstone of our technical infrastructure, enabling our AI agents to scale reliably and securely in production. You will design and oversee distributed systems that deliver low-latency, high-availability voice and chat AI , while meeting enterprise-grade security and compliance
requirements. This is a hands-on leadership role focused on architecture, systems design, and performance engineering - ensuring that Nurix’s groundbreaking AI research translates into robust, real-world deployments. Key
Responsibilities Systems Architecture & Scalability Design and evolve the end-to-end infrastructure supporting ASR/TTS, LLM orchestration, Agentic RAG, and self-learning workflows. Architect low-latency pipelines for real-time conversational AI, ensuring sub-second response times across voice and chat. Build multi-cloud, distributed systems (AWS, GCP, Azure) with elastic scaling to handle spiky workloads. Reliability & Performance Engineering Define and enforce SLAs around latency, uptime, and throughput for AI services. Drive observability, monitoring, and resilience strategies to handle failures gracefully. Optimize GPU/TPU utilization for cost-effective training and inference. Security & Compliance Partner with InfoSec to embed security-by-design across all AI/ML workloads. Implement controls to protect sensitive enterprise data while meeting global compliance standards (SOC2, ISO 27001, GDPR, DPDP). Collaboration & Leadership Work closely with the Head of AI to translate cutting-edge research into production-grade platforms . Provide technical mentorship to engineering teams, ensuring best practices in distributed systems and infra design. Evaluate and adopt emerging technologies (e.g., SSMs, inference optimizers like Triton, Riva, vLLM ) to stay ahead of the curve. Required