Lead AI Engineer

About the Role

Youll lead the architecture development and deployment of next-generation agentic AI systems that transform enterprise operations. These intelligent agents will autonomously orchestrate workflows analyze real-time data and embed decision-making across domains like finance sales and operations. Youll guide cross-functional teams mentor engineers and ensure technical excellence across all stages of delivery. Microsoft AI Foundry will be a key platform for agent development and Copilot Studio may be used optionally for few use cases.

Day-to-Day Work Responsibilities

• Architect and lead development of scalable production-grade agentic AI systems.
• Design serverless event-driven workflows usingAzure FunctionsLogic Apps andPower Automate.
• Build and optimize ML models for predictive analytics anomaly detection and recommendations usingAzure MLDatabricks andPython.
• Integrate agents with enterprise platforms such asSAP HANASalesforceSnowflakeKafka andUiPath.
• Ensure observability and reliability throughAzure Monitor logging and alerting frameworks.
• Define and enforce architecture patterns reusable components and governance standards.
• Lead code reviews technical design sessions and agile ceremonies.
• LeverageMicrosoft AI Foundryto build and deploy agents that meet enterprise-grade standards.

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