About the Opportunity
A fast-scaling AI innovation hub operating at the intersection of enterprise-grade artificial intelligence, generative models, and scalable cloud infrastructure, we build next-gen AI products and platform solutions that empower global businesses to automate decisions, personalize experiences, and unlock data-driven intelligence. Our engineering teams are responsible for architecting cutting-edge AI systems with production-grade reliability, from LLM orchestration to real-time inference pipelines serving Fortune 500 clients and high-growth startups alike. Role & Responsibilities

- Lead AI product architecture and engineering execution across cross-functional squads building generative AI, NLP, and computer vision solutions at scale.
- Design and implement scalable AI/ML infrastructure using cloud-native stacks (AWS/Azure/GCP), MLOps tooling, and containerized inference services.
- Drive technical strategy for AI model lifecycle from data labeling & fine-tuning to deployment, monitoring, and retraining with emphasis on performance, cost, and compliance.
- Mentor and scale engineering teams of 5-10+ AI engineers, data scientists, and ML engineers; establish engineering best practices, code reviews, and CI/CD pipelines.




- Collaborate with product owners and business stakeholders to translate high-level AI use cases into technical roadmaps and MVPs with measurable KPIs.
- Own AI system reliability: implement observability, drift detection, model versioning, and failover mechanisms to ensure 99.9% uptime SLAs.

Skills & Qualifications

Must-Have

- Python
- TensorFlow
- PyTorch
- LangChain
- FastAPI
- MLflow
- AWS SageMaker
- LLM Fine-tuning

Preferred

- GenAI Orchestration (LlamaIndex, AutoGen)
- Azure ML / GCP Vertex AI
- Vector Databases (Pinecone, Weaviate)

Benefits & Culture Highlights

- 100% remote-first culture with versatile working hours and global collaboration.
- Annual upskilling budget + access to top-tier AI training platforms (DeepLearning.AI, Coursera, Udacity).
- Equity options + performance-linked bonuses + international client exposure from Day 1.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Tech Lead (Jaipur)
🏢 Orbion Infotech
📍 Jaipur