AI Engineer Senior | Hybrid

Joinimagine; Minneapolis (MN); On-site; USD 110,000 - 164,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision plan

401(k) matching

Tuition reimbursement

Paid leave

Job summary

Allianz Life is seeking a Senior Data Scientist (AI Engineer) to lead production-grade AI initiatives, focusing on GenAI and agentic solutions. You will design, build, and maintain scalable AI systems, deploy within CI/CD pipelines, and mentor junior teammates.

You will collaborate with an AI delivery team and leverage Databricks, Azure, and Kubernetes to deliver enterprise-wide capabilities. Strong Python skills and production experience are essential.

Qualifications

• 4+ years of experience in data science or AI engineering.
• Experience building generative AI or agentic solutions.
• Experience deploying AI/ML systems in production.
• Proficiency in Python and clean, production-ready code.

Responsibilities

• Design, build, and maintain production-grade AI systems (GenAI/agentic).
• Productionize models with CI/CD pipelines and monitoring.
• Build Databricks pipelines for GenAI/ML workloads.
• Communicate designs and trade-offs to stakeholders.
• Scope complex problems into concrete technical plans.
• Mentor junior team members and promote best practices.

Skills

GenAI development

Agentic AI

Python

Databricks

CI/CD

DevOps

LLM orchestration

RESTful APIs

Git/GitHub

Kubernetes

Azure

MLflow

Tools

Databricks

MLflow

GitHub

Azure

Kubernetes

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.

107119 | 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