Agentic AI Developer

Job description

**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 a few use cases **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. **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) **What You Bring** - 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