We are looking for an AI Engineer to lead the integration of artificial intelligence and automation into cutting-edge systems. Based in Dallas, Texas, this role is an exciting opportunity to design, develop, and deploy AI-powered applications while leveraging cloud-native technologies and modern engineering practices. The ideal candidate will be passionate about utilizing AI tools to enhance workflows, streamline processes, and drive innovation.<br><br>Responsibilities:<br>• Develop and maintain user interfaces and backend services using modern programming frameworks.<br>• Design and optimize relational database schemas, queries, and stored procedures.<br>• Integrate AI models and services into applications to improve functionality and workflows.<br>• Build and deploy automation workflows using tools such as n8n and Zapier.<br>• Utilize AI-assisted development tools like Copilot and ChatGPT to enhance engineering efficiency.<br>• Identify and implement opportunities to streamline processes through AI and automation.<br>• Develop and deploy solutions within Microsoft Azure, ensuring scalability and security.<br>• Collaborate on cloud platform identity, integration, and security best practices.<br>• Work within a Windows-based environment while leveraging Microsoft 365 tools.<br>• Ensure high performance, scalability, and security across all application layers.
<p><strong>Build cloud infrastructure that keeps global operations running.</strong></p><p>Join a team modernizing large‑scale systems and accelerating cloud‑native adoption through automation, Infrastructure as Code, and high‑impact observability practices. This role designs, automates, and operates AWS environments using Terraform, CI/CD pipelines, and modern monitoring tools. You’ll collaborate across engineering, product, QA, and security teams to deliver reliable, scalable, and secure platforms. The position plays a key role in application modernization, AWS migrations, platform optimization, and mentoring team members. </p><p><br></p><ul><li>Design, build, and maintain CI/CD pipelines (e.g., Jenkins, Bitbucket) for applications and infrastructure.</li><li>Develop and operate observability platforms (Datadog, Grafana, Dynatrace) to ensure system performance and reliability.</li><li>Support migration of legacy workloads into AWS and enable adoption of services like ECS, Lambda, Aurora, and S3.</li><li>Implement Infrastructure as Code using Terraform and build reusable automation modules.</li><li>Participate in code reviews and champion automated testing, monitoring, and release best practices.</li><li>Troubleshoot CI/CD, observability, and deployment issues for engineering teams.</li><li>Document processes, create playbooks, and share infrastructure diagrams.</li><li>Lead complex infrastructure initiatives and drive improvements across IaC, CI/CD, observability, and cloud architecture.</li><li>Mentor junior engineers and contribute to hiring, onboarding, and DevOps culture development.</li><li>Collaborate cross‑functionally and help shape long‑term cloud strategy (AWS‑first with some Azure support).</li></ul>