Artificial Intelligence Engineer

AI Sustaining Engineer Contract to hire Remote Project summary Prime Therapeutics is building out an all-new AI team to support a multitude of initiatives. They are building out a vast roadmap through 2029 outlook, including use cases involving Prior Authorization, Rebates, Summarization. The AI Sustainability Engineer ensures that AI models deployed in production remain accurate, efficient, ethical, and cost-effective over time. This role bridges MLOps, observability, and optimization, focusing on performance monitoring, drift detection, retraining workflows, and sustainable resource use. Key Responsibilities: • Monitor AI model performance, reliability, and fairness in production. • Detect and remediate data drift, bias, and degradation issues. • Optimize model inference efficiency, scalability, and energy usage. • Implement observability frameworks and automated retraining triggers. • Collaborate with AI Engineers and infrastructure teams to sustain production health. • Provide technical support and troubleshooting for live AI systems. • Report AI policy violations and ensure compliance. Must have Skills • Experience with ML observability tools (Dynatrace, MLflow, EvidentlyAI, Prometheus, Grafana, etc.). • Strong understanding of data drift detection and statistical monitoring. • Hands-on with containerization (Docker/Kubernetes) and CI/CD pipelines. • Experience in production support and AI monitoring. • Proficient in Python for automation and monitoring scripts. • Familiarity with model versioning, governance, and retraining pipelines. • Knowledge of AWS cloud AI infrastructure (containerized deployments on EC2 instances). • Strong communication, team player, go-getter type attitude. Must be proactive and seeking out work and solutions, good working in ambiguity and not always being handed instructions.