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Job description
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.
Job posting range $110,001 - $164,000
Note the job posting range is exclusive of company benefits or other compensation. This role is also eligible for an annual incentive program. If you are hired, your final base salary will be determined based on factors such as geographic location, experience, skills, competencies, and/or education. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth.
What we offer:
At Allianz Life, we’re proud to provide a benefits package that supports the True Balance of our employees and their families. We offer: a choice of comprehensive medical, dental and vision plan options, flexible spending and health savings accounts, tuition reimbursement, student loan retirement program, generous annual paid leave, an outstanding 401(k) company match, and life insurance. Plus, our employees enjoy an award-winning campus with an array of discounted amenities, including an onsite health center, child development center, fitness facility, convenience store and two cafeterias. Our employees and leaders take an active role in shaping our culture through our Employee Resource Groups, whose activities and advocacy contribute to an environment that is fair, caring, and inclusive. Our generous benefits, campus amenities and inclusive, engaged culture are among the many reasons we’re routinely recognized as a top workplace employer. For additional information regardingWhat It’s Like To Work Here | Allianz Life .
| Data & AI | Professional | Non-Executive | Allianz US Life | Full-Time | Permanent
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let’s care for tomorrow. #LI-BK1
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Worksite address
minneapolis, MN, 55400, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.