Company Description

PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.

Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to:

Shape your own career

Grow in a supportive environment

Connect with a community of experts

Make an impact

View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe.

We are always looking for bright, proactive individuals to join our team!

Please follow our Careers page for all updates on new positions. We look forward to receiving your application.

PartnerRe is an equal opportunities employer.

Please join our company LinkedIn Page for all updates on new positions that are coming live.

Job Description

Job Summary:

Hands‑on AI Engineer role focused on building and operationalizing AI solutions as the organization transitions from experimentation to enterprise‑scale production. With 3–4 years of experience in software development, data engineering, or applied machine learning, you will work closely with senior engineers, AI architects, and product teams to develop applications, integrate AI services, and implement production‑ready AI system.

About the Role:

AI Solution Development

• Implement AI/ML features based on guidance from senior architects and product owners.
• Build and maintain Python- and SQL-based components used in model development, data ingestion, and integration workflows.
• Contribute to prototypes and pilot projects by developing, debugging, and improving code.

Operationalization & MLOps

• Support creation and maintenance of reusable deployment pipelines.
• Assist in model packaging, versioning, evaluation, and monitoring.
• Work with CI/CD tooling (e.g., GitHub Actions, Azure DevOps) to automate testing and deployments.”

AI Integration:

• Implement connectors and integration logic using APIs, SDKs, and platform-native tools.
• • Assist in integrating services such as Document AI, Microsoft Copilot extensions, Azure AI or Snowflake Cortex.

  Data & Platform Collaboration

  • Work with data engineers and platform teams to ensure AI workloads can access the right data.
  • Contribute to telemetry, logging, and performance optimization.

  Continuous Improvement

  • Document best practices and contribute to internal knowledge sharing.
  • Stay up-to-date with evolving AI frameworks, tools, and SDKs.

Qualification / Skills:

Technical Skills

• Strong programming skills in Python and working knowledge of SQL.

• Experience with modern AI frameworks or libraries (e.g., LangChain, Semantic Kernel, Streamlit).
• Familiarity with Snowflake (Snowpark, Document AI, Cortex) or Azure AI ecosystem (OpenAI, AI Foundry, Azure ML).
• Exposure to vector databases and orchestration tools such as Airflow or Azure Data Factory is a plus.

Soft Skills

• Mindset: "Player-Coach" mentality—capable of defining high-level architecture and writing the code to unblock engineering teams when necessary.
• Bridge Builder: Experience integrating modern AI/ML solutions with existing enterprise landscapes (Legacy data, REST APIs) and a solid grasp of agentic patterns (e.g., RAG, Agents).
• Communication: Able to communicate technical work clearly to team members and stakeholders.

Education / Work Experience

• 3–4 years of hands-on experience in software engineering, data engineering, or applied machine learning.
• Degree in Computer Science, Software Engineering, or equivalent practical experience.

Additional Information

#LI-Hybrid:

PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best.  We invite you to learn more about D&I at PartnerRe.

Thank you,

PartnerRe Hiring Team