Agentic AI Leadership Role
The successful candidate will lead the architecture, development, and deployment of transformative agentic AI systems.
To excel in this position, the ideal candidate should have proven experience leading AI engineering teams and delivering enterprise-grade solutions.
The required skills and qualifications include strong technical depth in AI/ML, cloud platforms, and agentic system design, ability to navigate ambiguity, drive clarity, and influence across functions.
Additionally, the ideal candidate should have passion for building transformative AI systems that solve meaningful problems and work closely with data scientists, product managers, enterprise architects, devops engineers, security and compliance teams, business stakeholders, SMEs, change management and enablement teams.
The key technologies used in this role include Python, Power Apps, Power Automate, Databricks, Snowflake, Azure Machine Learning, Azure DevOps, GitHub, Vector Databases, Azure Monitor, OpenCV, TensorFlow, PyTorch, Azure IoT Hub, SAP HANA, Kafka, UiPath, Microsoft AI Foundry, Copilot Studio.