Gen AI Engineer - Dallas/Tampa 991765

Location: Dallas, TX or Tampa, FLEngagement Type: Contract to HireInterview Process: Two roundsSenior AI/ML Observability EngineerRole OverviewWe are seeking a Senior AI/ML Observability Engineer to join a strategic observability team focused on building reusable, enterprisewide anomaly detection solutions. This role blends hands-on AI/ML engineeringobservability expertise, and automation to proactively detect system issues and improve production reliability.The ideal candidate has strong Python-based ML experience, a solid grasp of observability principles (logs, metrics, traces), and has worked closely with Infrastructure, SRE, and Engineering teams to implement scalable observability solutions across complex systems.This is a senior individual contributor role requiring independence, initiative, and subject-matter expertise.Key ResponsibilitiesAI/ML & Observability EngineeringDesign, build, and deploy AI/ML models for anomaly detection across telemetry data (logs, metrics, traces, KPIs)Translate early-stage use cases into generalized, reusable observability solutionsModify and extend models to support multiple applications and teamsApply ML techniques to predict system anomalies before production impactTelemetry & System MonitoringAnalyze and correlate logs, metrics, traces, and system KPIsIdentify early warning signals of instability or degradationBuild dashboards and alerts using observability platformsCollaboration & StrategyWork closely with Infrastructure, SRE, Developers, and ArchitectsContribute to enterprise observability strategyAct as a subject matter expert for AI-driven observabilityOperate independently within a small, high-impact teamAutomation & CloudDevelop automation to support end-to-end observability workflowsDeploy solutions in cloud environmentsLeverage OpenTelemetry standards for instrumentation and data collectionRequired Qualifications6+ years of experience in AI/ML engineering, SRE, or observability-focused rolesStrong expertise in Python for data processing and ML developmentHands-on experience building ML models for anomaly detectionSolid understanding of observability principles (logs, metrics, traces)Experience with observability tools such as: Grafana (preferred)SplunkDynatraceFamiliarity with OpenTelemetryStrong automation skills (pipelines, workflows, reusable components)Experience working in cloud environmentsExcellent problem-solving and communication skillsPreferred QualificationsExperience designing predictive models for system reliabilityBackground supporting production systems in large-scale environmentsExperience building reusable ML platforms or shared servicesExposure to enterprise-wide monitoring or observability programsIdeal Candidate ProfileSenior-level, hands-on engineerStrong ownership mindset; able to drive work end-to-endComfortable operating with limited supervisionStrategic thinker with pragmatic execution skillsPassionate about reliability, automation, and proactive problem detectionDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.J-18808-Ljbffr