Lead Engineer - Agentic AI
About The Position
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
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.
- 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
Benefits
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
