Agentic AI/ML Engineer

Job Title: Agentic AI Engineer with ServiceNow & DevOps Experience
Location: Dallas, TX (Onsite)
Experience: 9+ Years

We are looking for an Agentic AI Engineer with strong ServiceNow and DevOps expertise to design, build, deploy, and maintain AI-powered solutions that enhance automation, decision-making, and user experience across the ServiceNow platform. The ideal candidate will blend Generative AI, LLMs, ServiceNow workflows, and DevOps best practices to deliver intelligent, scalable, and production-ready enterprise solutions.

Key Responsibilities:

• Develop scalable and maintainable applications and workflows within the ServiceNow platform, aligning with GTM use cases (e.g., sales enablement, lead management, partner ops).
• Leverage AIA Studio to orchestrate AI workflows, integrate machine learning models, and streamline decision-making in GTM processes.
• Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval to deliver contextual insights and automation.
• Build and maintain RAG pipelines enriched with Knowledge Graphs to surface relevant, real-time data to sales to help close deals.
• Implement AI agents capable of task planning and execution (e.g., lead routing, customer scoring, higher deal velocity).
• Design and implement CI/CD pipelines for ServiceNow and AI applications, ensuring automated build, testing, deployment, and release management.
• Implement Infrastructure as Code (IaC) for cloud environments and maintain version control best practices.
• Deploy and manage AI/ML workloads across cloud platforms (Azure/AWS/GCP), ensuring scalability, reliability, and security.
• Implement monitoring, logging, and alerting mechanisms for AI models, RAG pipelines, and ServiceNow integrations to ensure performance, uptime, and continuous improvement.
• Ensure secure coding practices, DevSecOps integration, data governance, and compliance with enterprise standards.
• Work closely with Product and Business Operations teams to identify opportunities, design solutions, and deliver measurable impact.

Good to Have:

• Experience with Agentic AI
• Knowledge of MLOps / AIOps
• Hands-on experience with DevOps tools (Jenkins, GitHub Actions, Azure DevOps, Terraform, Docker, Kubernetes)
• Cloud platforms: Azure, AWS, or GCP
• ServiceNow certifications (CSA, CAD, CIS)
• Experience with enterprise data governance and compliance