Role OverviewAI Architect with 12 years of experience in designing multi-agent workflows, data models, and aligning technical AI choices with real business goals and financial budgets.
What You Will Do
Designing multi-agent workflows, data models, tracking model performance, managing inference costs, and handling latency tracking.
Why It Might Be a Fit
The role requires expertise in AI & Machine Learning, Cloud & Infrastructure, Data Management, and Programming, with a focus on deep learning frameworks, large language models, and retrieval-augmented generation pipelines.
Requirements
- Mastery of deep learning frameworks like PyTorch or TensorFlow
- Experience with cloud services AWS Saga Maker, Google Cloud AI, Microsoft Azure AI Docker, Kubernetes
- Knowledge of data pipelines, ETL processes, vector databases, and data governance
- Proficiency in core languages such as Python & Data Engineering Libraries and Java
Benefits
- Medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance
- Employee assistance program
- 401(k) retirement plan
- 10 days of paid time off per year
- 10 paid holidays per year
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