Professional Services Engineer
Core
Architect and implement production-grade integrations and distributed data systems for enterprise customers using Maia, an AI Data Automation platform.
Role type
Senior Professional Services Engineer (Data & AI)
Builds
Production-grade data pipelines, modernized ETL/ELT workflows, and AI-integrated data solutions for enterprise clients
Domain
Data Engineering, AI/ML, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, API development, ETL/ELT workflows, data architecture, cloud infrastructure (AWS/Azure/GCP), Kubernetes, AI API integration
Preferred skills
Experience with agentic AI, legacy system modernization, customer executive communication
Technologies
Python, SQL, AWS, Azure, GCP, Kubernetes, OpenAI, Anthropic
Responsibilities
Architect and implement production-grade integrations and distributed data systems; Transform legacy ETL/ELT workflows into modern autonomous data pipelines; Integrate AI APIs and use AI code generation tools; Deliver technical solutions from kickoff to production within 8-12 weeks; Alternate between deep technical problem-solving and strategic alignment with customer executives
