Jobs → Engineering → Senior Agentic AI Engineer

About the Role We are seeking an experienced Senior Agentic AI Engineer with strong hands-on expertise in Microsoft Azure AI Foundry to design, develop, deploy, and manage enterprise-grade Agentic AI solutions. The ideal candidate will have deep technical expertise in Azure AI Foundry, Azure OpenAI, AI Search, AI agent development, cloud infrastructure, and LLMOps. This role requires experience building scalable, secure, and production-ready AI agents integrated with enterprise applications and data platforms such as Databricks. Key Responsibilities • Develop CI/CD pipelines, Infrastructure as Code (IaC), and LLMOps processes to automate the deployment, monitoring, scaling, and management of AI agents. • Implement enterprise security, compliance, and Responsible AI controls, including Private Endpoints, Role-Based Access Control (RBAC), identity management, and content safety. • Integrate AI agents and applications with enterprise systems and the Databricks platform to support real-world business processes. • Work closely with business stakeholders, enterprise architects, cybersecurity teams, and engineering teams to deliver AI-driven solutions supporting enterprise business workflows, cybersecurity, and QA automation initiatives. Requirements • 10+ years of experience preferred. • Excellent verbal and written communication skills are mandatory. • Hands-on experience building and deploying enterprise AI agents with Azure AI Foundry. • Experience designing and implementing autonomous AI agents and agentic workflows. • Strong experience with LLM integration and enterprise GenAI applications using Azure OpenAI. • Experience with enterprise search, retrieval, and knowledge integration using Azure AI Search. • Experience provisioning and managing Azure environments for AI workloads. • Experience building deployment, monitoring, and operational pipelines for AI applications (LLMOps/MLOps). • Experience automating AI solution deployment and infrastructure management with CI/CD and Infrastructure as Code. • Experience with Azure security including Private Endpoints, RBAC, identity management, networking, and key management. • Experience integrating AI solutions with Databricks and enterprise data platforms. • Experience with monitoring and optimization of AI usage, cost, latency, performance, and adoption. • Strong programming experience in Python. • Experience with REST APIs, microservices, and enterprise application integrations. • Familiarity with Azure DevOps, GitHub Actions, Terraform, or Bicep. • Experience with production deployment and support of GenAI applications. • Knowledge of Responsible AI, AI governance, and compliance frameworks. • Experience with cybersecurity automation and QA automation use cases. • Experience with enterprise-scale Agentic AI implementations.