Senior Technical Architect
We are seeking a highly skilled Senior Technical Architect to lead the development of scalable, production-grade AI systems.
The ideal candidate will have expertise in designing serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.
They will be responsible for building and optimizing ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.
Additionally, they will integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath.
The successful candidate will ensure observability and reliability through Azure Monitor, logging, and alerting frameworks.
Key responsibilities include defining architecture patterns, reusable components, and governance standards, leading code reviews, technical design sessions, and agile ceremonies.
Leveraging Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards is also essential.
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:
* 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)