AI Engineer Senior | Hybrid

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

Benefits offered by this job

Health insurance

Tuition reimbursement

401(k) match

Life insurance

Paid time off

Job summary

Allianz Life is seeking a Senior Data Scientist (AI Engineer) to design, build, and support production-grade AI systems using GenAI and agentic AI. You will own end-to-end delivery, collaborating with a delivery team and stakeholders across the enterprise.

The role requires 4+ years of experience (or 3+ with a graduate degree), strong Python skills, and experience deploying AI/ML in cloud and Databricks environments. Excellent communication and leadership abilities are essential.

Qualifications

• 4+ years of experience required or 3+ years with a graduate degree
• Hands-on experience building generative AI and agentic solutions in Python
• Experience with cloud computing and big data platforms (Azure and Databricks)
• Strong production-grade Python coding skills
• Experience leading data-driven projects and presenting findings to leadership
• Experience with version control using Git / GitHub
• Familiarity with Databricks jobs/workflows and MLflow for experiment tracking
• Understanding of AI tools for prototyping (Claude Code or similar) desired
• Kubernetes or containers experience desired
• Authorized to work in the U.S. without sponsorship now or in the future

Responsibilities

• Design, build, and maintain production-grade generative AI and agentic systems for enterprise deployment
• Productionize models within CI/CD pipelines and DevOps practices for release management and monitoring
• Build and maintain Databricks pipelines for GenAI and ML workloads
• Communicate designs and trade-offs to technical and non-technical stakeholders
• Refine ambiguous business problems into concrete GenAI/ML technical plans
• Provide thought leadership on new AI/engineering methodologies
• Mentor junior team members and support their growth
• Utilize AI tools and resources (e.g., generative AI)

Skills

Python

GenAI & Agentic AI

LLM orchestration

Databricks

CI/CD & DevOps

Azure Cloud

Git / GitHub

RESTful APIs

Kubernetes/containers

Communication to stakeholders

Tools

Databricks

MLflow

Delta Lake

GitHub

REST APIs

Docker/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 regarding What 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.