Senior Data Scientist / AI Engineer

Senior Agentic AI Engineer Contract or Contract-to-Hire Highly Technical | 100% Hands-On Role We are supporting a large, rapidly expanding healthcare organization that is making a significant investment in advanced AI and Data Science capabilities. This team is focused on building production-grade, agent-based AI systems that operate at scale, integrate with enterprise platforms, and support complex, real-world decision-making. This is a deeply hands-on, senior-level role for someone who can move beyond high-level AI concepts and deliver robust, technically sound solutions in a highly regulated environment. What You’ll Do • Architect and implement Agentic AI solutions, including autonomous agents, multi-agent workflows, and tool-augmented LLM systems • Build and evaluate LLM-driven pipelines, with strong rigor around tokenization, embeddings, summarization, and evaluation metrics • Translate complex business and data problems into well-structured ML and AI solutions • Apply strong classical machine learning fundamentals (sampling strategies, feature engineering, model evaluation, feature importance) to modern AI systems • Design and implement AI integrations across enterprise platforms, APIs, and data pipelines • Deploy, monitor, and optimize AI systems in cloud-based environments (AWS, Azure, or GCP) • Partner with engineering and data teams to ensure solutions are scalable, secure, and production-ready Required Qualifications • Senior-level experience as a Data Scientist, AI Engineer, or ML Engineer in highly technical, hands-on roles • Demonstrated, practical experience with Agentic AI — beyond theoretical understanding or trend awareness • Strong depth in LLM internals, including tokenization, embeddings, summarization methods, and evaluation approaches • Solid grounding in traditional machine learning, including sampling techniques, feature importance, model validation, and performance analysis • Experience integrating AI/ML solutions into production systems • Strong cloud experience supporting enterprise-scale AI workloads • Proven critical thinking and problem-solving skills, especially in ambiguous or open-ended technical scenarios Preferred Qualifications • PhD in Computer Science, Data Science, AI, ML, or related discipline (preferred, not required) • Experience working in regulated or highly complex industries • Exposure to large-scale data platforms and enterprise AI governance practices Why Join • Work on real, high-impact AI systems deployed in production • Join a team in active growth mode, expanding its Data Science and AI Engineering footprint • High technical ownership with influence over architecture and implementation • Contract or contract-to-hire flexibility with long-term potential • Opportunity to work at the intersection of Agentic AI, enterprise systems, and real-world impact