Forward Deployed Engineer, ML

# Forward Deployed Engineer, ML## SonarPublished 16 Jul 2026### Share this jobAustin, TX, USAFull Time## Role Highlights### Languages usedPythonS3### Key skillsPrompt EngineeringML OpsData ScienceComputer ScienceIntegrationsCICDSMETechnical CustomerAI EngineerLLMsForward Deployed EngineerSecurityTestingDeploymentEmbeddedArchitectureInfrastructureResearchMachine LearningCloudGoogle AnalyticsConsole### Tools, Libraries and FrameworksVertex AIGitHubSonarQubeHubsLOOPDockerKubernetesSageMakerAzure## DescriptionThe role involves acting as a primary technical architect for strategic enterprise clients to implement and deploy AI Development Life Cycle solutions. The individual will establish frameworks for AI-assisted development, including prompt engineering, code generation, and security governance. Responsibilities include integrating company products into customer CI/CD pipelines and optimizing AI toolchain performance. The position requires advising clients on reducing technical debt and managing AI token costs. Additionally, the role involves creating reusable deployment playbooks and serving as an internal consultant to shape product direction based on real-world infrastructure needs.## Required Qualifications and SkillsCandidates must hold a Bachelor's degree in Computer Science or a related field. At least two years of experience in a technical, customer-facing role such as a Forward Deployed Engineer, Solutions Engineer, or Software/ML Engineer with consulting experience is required. Applicants need hands-on expertise with CI/CD pipelines and AI development workflows, along with a background in deploying high-performance AI systems. Proficiency in Python and deployment technologies like Docker, Kubernetes, and cloud AI platforms is necessary. Strong communication skills are required to explain complex system architectures to both technical and executive audiences.## ApplyVisit full job listing #J-18808-Ljbffr