Principal AI Architect
Gloroots AI
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
Qualifications
- 10+ years of experience in AI/ML distributed systems and AI/ML platform engineering.
- Hands‑on experience building and owning GenAI solutions in production.
- Deep expertise with LangChain/LlamaIndex, VectorDBs, and RAG.
Responsibilities
- Define and drive the technical architecture for AI orchestration platform serving 100M+ users.
- Lead multiple engineering teams across AI infrastructure, model orchestration, and vector systems.
- Establish technical standards and best practices for GenAI platform development.
Skills
Job description
A venture-backed AI company building the intelligence layer for India at massive scale. Backed by partnerships with global tech leaders like Meta and Google.
The company creates AI that serves the entire Indian user base across languages, contexts, and daily needs. Engineered from day one for 100M+ users early and 1B-ready constraints on latency, cost, reliability, and safety.
You will define the architecture and technical direction for an AI platform serving 100M+ users across India. You'll lead multiple technical teams spanning AI infrastructure, model orchestration, and vector knowledge systems while driving hands‑on technical excellence. This role offers direct ownership of distributed AI/ML services that power real‑world consumer experiences at unprecedented scale.
- Define and drive the technical architecture for AI orchestration platform serving 100M+ users
- Lead multiple engineering teams across AI infrastructure, model orchestration, and vector systems
- Design and implement distributed AI/ML services with focus on latency, cost, and reliability
- Build hands‑on solutions for LLM orchestration, model routing, and multi‑agent coordination systems
- Establish technical standards and best practices for GenAI platform development
- Drive architecture decisions for cloud‑native AI infrastructure and observability systems
- Own end‑to‑end GenAI solutions from prototype to production‑scale deployment
- 10+ years of experience in AI/ML distributed systems and AI/ML platform engineering
- Hands‑on experience building and owning GenAI solutions in production
- Deep expertise with AI Agents, LLM orchestration, model routing, LangChain/LlamaIndex, VectorDBs, and RAG
- Strong experience with AI/ML orchestration frameworks and embeddings systems
- Proven leadership experience driving architecture decisions at scale
- Experience with Azure DevOps and GCP cloud‑native stacks including Kubernetes, Kafka, and Terraform
- Demonstrated ability to build distributed AI/ML services with high reliability
- Experience building AI platforms for consumer‑scale applications (100M+ users)
- Background in multi‑modal and multi‑lingual AI systems
- Previous experience in startup or high‑growth technology environments
- Open source contributions to AI/ML orchestration or infrastructure projects
- Opportunity to build AI infrastructure for 100M+ users across India
- Leadership role in a fast‑moving, high‑ambition AI team
- Direct impact on category‑defining consumer AI experience
- Collaboration with global tech partners like Meta and Google
- Competitive compensation and equity in a high‑growth AI company
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