What you do: The Senior Data Scientist (AI Engineer) is a member of the Data Science & AI team within the Data & Analytics Center of Excellence. You will take ownership of designing, building, and supporting production-grade AI systems using GenAI, Agentic AI and/or machine learning to solve challenging business problems across the Enterprise. You will report to the Data Science Senior Manager and will work with an AI delivery team consisting of a tech lead, product owner, and other data scientists/AI engineers. • Design, build, and maintain production-grade generative AI and agentic AI systems (e.g., LLM-based applications) that are secure, scalable, and reliable enough for enterprise-wide deployment • Productionize models and AI systems, working within established CI/CD pipelines and DevOps practices (Github Actions) to support deployment, versioning, release management, and monitoring/alerting for performance, drift/quality, and reliability at scale • Build and maintain Databricks pipelines for data processing and pipeline support for GenAI, agentic, and machine learning workloads at scale • Communicate technical designs, trade-offs, and system behavior to both technical and non-technical stakeholders to inform project decisions • Scope and reframe ambiguous business problems into concrete technical plans for GenAI, agentic, and machine learning solutions • Provide thought leadership on new methodologies in AI and engineering to elevate standards across the department • Mentor and support the technical development of junior team members • Utilization of artificial intelligence tools and resources (e.g. generative AI) What you bring: • Minimum 4+ years of experience required or 3+ years with a graduate degree • Hands-on experience building generative AI and agentic solutions in Python, including RAG solutions, agent frameworks, and LLM orchestration (not just no-code/low-code tools) • Demonstrated experience working with cloud computing and big data platforms (Azure and Databricks preferred) sufficient to deploy, operate, and release AI/ML systems in production • Strong proficiency in writing clean, production-ready code in Python • Previous experience leading data-driven projects from concept to execution, translating complex insights into actionable strategies and confidently presenting findings to stakeholders and senior leadership • Experience with version control using Git / Github • Experience evaluating, productionizing, and monitoring traditional AI/ML models using Databricks (or equivalent), including using jobs/workflows, MLflow for experiment tracking and model management, data pipelines, and Delta Lake tables desired • Experience building and integrating with RESTful APIs, connecting AI/ML systems to enterprise data sources and existing business applications, with an understanding of overall systems architecture and how these components fit together desired • Understanding of machine learning algorithms and core statistical concepts (e.g., hypothesis testing) desired • Experience with Claude Code or similar AI coding agent tools for building and prototyping AI solutions desired • Kubernetes or containers experience desired • You must be legally authorized to work in the U.S. without requiring immigration sponsorship now or in the future. This includes holders of H-1B, H4, L-1, L-2, TN, OPT, CPT, and other nonimmigrant visas. 107119 | Data & AI | Professional | Non-Executive | Allianz US Life | Full-Time | Permanent