Lead AI Engineer
We are seeking a highly skilled Lead AI Engineer to spearhead the development and deployment of next-generation agentic AI systems.
Job Description:
As a Lead AI Engineer, you will be responsible for leading the architecture, development, and deployment of intelligent agents that transform enterprise operations. These agents will autonomously orchestrate workflows, analyze real-time data, and embed decision-making across domains like finance, sales, and operations.
The ideal candidate will have expertise in designing serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate. You will also be responsible for building and optimizing ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.
Key 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.
* 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.
* Align agent capabilities with user needs by working with Product Managers & UX Designers.
* Ensure scalability and deployment efficiency by collaborating with Enterprise Architects & DevOps Engineers.
* Meet regulatory and governance requirements by working with Security & Compliance Teams.
* Define use cases and validate outcomes by working with Business Stakeholders & SMEs.
* Support adoption and training efforts by collaborating with Change Management & Enablement Teams.
What We Offer:
Our company offers a dynamic work environment, opportunities for professional growth and development, and a competitive compensation package.