Principal AI Architect

📋 Description

• Define technical strategy and lead end-to-end architecture of complex systems across cloud, data
• Architect scalable cloud-native, multi-cloud, and hybrid solutions (AWS, Azure, GCP, Kubernetes
• Design robust data architectures: data warehouses, data lakes, batch/streaming pipelines, data
• Lead production AI/ML systems design: LLM apps, agentic systems, model serving, MLOps pipelines
• Set standards for IaC, CI/CD, DevOps, observability, reliability, and operational excellence.
• Drive architectural decisions for performance, scalability, cost, security, and long-term

🎯 Requirements

• 8+ years in software engineering, with 5+ years in technical leadership/architecture.
• Cloud platform expertise across AWS, Azure, GCP, or comparable environments.
• Distributed systems design using microservices, serverless, containers, Kubernetes, Docker, and
• Experience with IaC and CI/CD (Terraform, CloudFormation, Pulumi, GitHub Actions, etc.).
• Extensive data architecture experience: relational, NoSQL, warehouses, Big Data (PostgreSQL
• Hands-on data modeling, ETL/ELT, streaming, orchestration (Airflow, Prefect, dbt).

🎁 Benefits

• Salary: $165,604–$228,491 USD, final comp based on experience, skills, location, etc.
• Healthcare coverage: medical, dental, vision.
• Retirement: 401(k) plan.
• PTO and work-life balance.
• Professional growth: complex cloud/data/AI initiatives with experienced teammates.
• Innovative environment: exposure to modern AI tech and production-ready AI systems.