About the Role
Responsibilities End-to-End Solution Delivery: Lead the full lifecycle of custom AI projects—from initial customer design and technical architecture to testing and production implementation.
Production Stewardship: Take ownership of the last mile of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and debugging production issues in customer-specific AI workflows.
Applied Data Engineering: Use SQL, Python, and Spark to transform disparate, messy customer datasets into clean, high-performing inputs for our AI engine.
Stakeholder Collaboration: Partner directly with customer marketing teams and internal Product Managers to explain technical logic and ensure AI solutions meet business objectives.
Cross-Functional Collaboration: Partner with the other teams across Blueshift to optimize data pipelines and debug distributed systems.
Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development ...
Production Stewardship: Take ownership of the last mile of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and debugging production issues in customer-specific AI workflows.
Applied Data Engineering: Use SQL, Python, and Spark to transform disparate, messy customer datasets into clean, high-performing inputs for our AI engine.
Stakeholder Collaboration: Partner directly with customer marketing teams and internal Product Managers to explain technical logic and ensure AI solutions meet business objectives.
Cross-Functional Collaboration: Partner with the other teams across Blueshift to optimize data pipelines and debug distributed systems.
Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development ...
Ready to Apply?
Submit your application today and take the next step in your career journey with Blueshift.
Apply Now