Day-to-Day Work Responsibilities

• Architect and lead development of scalable, production-grade agentic AI systems.
• Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.
• Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.
• Integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath.
• Ensure observability and reliability through Azure Monitor, logging, and alerting frameworks.
• Define and enforce architecture patterns, reusable components, and governance standards.
• Lead code reviews, technical design sessions, and agile ceremonies.
• Leverage Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards.
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Leadership Responsibilities

• Mentor and coach junior engineers, fostering a culture of innovation and technical excellence.
• Drive cross-team collaboration and alignment on agentic AI strategy and execution.
• Own delivery timelines, quality benchmarks, and stakeholder communication.
• Champion best practices in DevOps, CI/CD, and model lifecycle management.
• Stay ahead of trends in AI, machine vision, and IoT to guide strategic decisions.

Cross-Functional Collaboration

You will work closely with:

• Data Scientists & ML Engineers – for model development and integration
• Product Managers & UX Designers – aligning agent capabilities with user needs
• Enterprise Architects & DevOps Engineers – ensuring scalability and deployment efficiency
• Security & Compliance Teams – meeting regulatory and governance requirements
• Business Stakeholders & SMEs – defining use cases and validating outcomes
• Change Management & Enablement Teams – supporting adoption and training efforts

Technology & Tools

• Languages & Platforms: Python, Power Apps, Power Automate, Databricks, Snowflake
• Enterprise Systems: SAP HANA, Kafka, UiPath
• AI Platforms: Microsoft AI Foundry (highly preferred), Copilot Studio (optional)
• Cloud & ML Tools: Azure Machine Learning, Azure DevOps, GitHub
• Data & Observability: Vector Databases, Azure Monitor
• Vision & IoT: Azure IoT Hub, OpenCV, TensorFlow, PyTorch (for edge and vision-based agents)

What you bring with you:

• Proven experience leading AI engineering teams and delivering enterprise-grade solutions
• Strong technical depth in AI/ML, cloud platforms, and agentic system design
• Ability to navigate ambiguity, drive clarity, and influence across functions
• Passion for building transformative AI systems that solve meaningful problems