
AI Solutions Architect
1 day ago
Job Title:
Data Architect
Role Overview:
We are a team of professionals who are passionate about building next-generation AI solutions to enhance education and research.
About This Role
We're looking for an experienced Data Architect with expertise in large-scale data processing. Data architecture is critical to successful model training and evaluation.
- You'll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.
- You'll join a high-impact team responsible for both architecture and scaling of Incept's data and model development infrastructure, and work with highly complex, multi-modal data.
Responsibilities:
- Design, build, and operate scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM Research
- Develop and maintain high-throughput systems for data ingestion, processing, and transformation to support LLM model development
- Develop synthetic datasets using state-of-the-art solutions
- Collaborate with research teams to deliver critical data assets for model development and evaluation
- Implement and maintain monitoring and alerting to support platform reliability and performance
- Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards
Required Qualifications:
- 5+ years of experience in data architecture, ideally supporting high-scale applications or research platforms.
- Fluent in distributed computing frameworks.
- Deeply familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines.
- Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster.
- Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
- Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.
- Extensive experience with performance optimization and memory management in high-volume data systems.
- Proactive about documentation, automation, testing, and empowering your teammates with good tooling.
This role is fully remote, India-based. Compensation and benefits will vary based on background, skills, and experience levels.
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