Transform Your Career as a Lead Engineer
About the Role
You will 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.
* 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.
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.
Requirements:
* Expertise in software development, architecture, and engineering.
* Strong knowledge of cloud-based technologies, particularly Azure.
* Familiarity with machine learning, data science, and artificial intelligence.
* Excellent leadership, communication, and collaboration skills.