AI Systems Engineering Lead
This role involves leading the architecture, development, and deployment of next-generation agentic AI systems that transform enterprise operations.
Key Responsibilities:
1. Design and implement scalable, production-grade AI systems using machine learning and cloud computing technologies.
2. Develop serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate to improve efficiency and reduce latency.
3. Build and optimize machine learning models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.
Leadership and Collaboration:
* Mentor and coach junior engineers to develop their skills and expertise in AI system design and development.
* Drive cross-team collaboration and alignment on AI strategy and execution to achieve business objectives.
Collaboration and Communication:
Work closely with data scientists, product managers, UX designers, enterprise architects, DevOps engineers, security and compliance teams, business stakeholders, and SMEs to ensure seamless integration and delivery of AI-powered solutions.