The Global Data Organization at Chubb is seeking a senior solution engineer with 10+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for delivering AI/ML/Data solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.    

As the senior solution engineer,  you will design and develop solutions to complex business problems which combine industry standard practices with innovation. You will focus on building data pipelines and designing application architecture for enterprise level AI/ML capacities.  This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet analytic challenges head-on as you develop and refine generative AI data processes for Chubb.  

Job Summary:

In this role, you will: 

• Design and Develop flexible, adaptable, modular, and reusable AI/ML solution architecture designs in collaboration with product delivery and operation support teams, with a strong focus on Generative AI and MLOps.
• Work with project managers and engineers to ensure alignment of program deliverables and engineer sound technical solutions in AI/ML projects.
• Work hands-on with development teams: reviewing code, enforcing best coding practices, debugging critical issues, and conducting performance testing to deliver efficient and high-performing AI/ML and Generative AI solutions.
• Evaluate, learn, and assist teams with open-source technologies and frameworks relevant to AI/ML, including libraries and AI lifecycle tools (TensorFlow, PyTorch, MLflow, Kubeflow, and more).
• Identify technology risks and devise corresponding mitigation strategies, ensuring robust and scalable AI/ML systems in production.
• Follow appropriate solution architecture governance processes and tools while maintaining a key focus on design patterns, technology standards, and best practices in Generative AI and MLOps. And work 
• Act as an enabler of Agile and DevOps practices, including MLOps pipelines, in collaboration with product delivery, data engineering, and operation support teams.
• Explore, evaluate, and promote emerging technology innovations in Generative AI, large language models, and advanced ML frameworks to drive the organization’s AI roadmap.

• Bachelor’s Degree in Computer Science, Data Science, or Engineering preferred; advanced degrees are a plus.
• Solid understanding of commercial and/or enterprise business domains; insurance experience (particularly in commercial property and casualty) is a plus but not required.
• Proven ability to serve as a hands-on architect, working closely with AI/ML engineers at the code and design level (Python, Java, C#, or similar languages). Quickly develop and deploy POC application to demo new technology/framework.
• Demonstrable coding skills and experience with frameworks such as TensorFlow, PyTorch, scikit-learn, Kafka, or Node.js; familiarity with Azure or AWS for AI/ML deployments is strongly preferred.
• Ability to guide and mentor development teams on sound design, coding principles, and best practices in Generative AI and MLOps-based microservices and cloud environments.
• Experience in application modularization and modernization, including adoption of microservice architecture for AI/ML workloads.
• Understanding of integration architectures, including API mediation, event-driven systems, and service buses for AI/ML data ingestion and model serving.
• Ability to translate technical abstractions into patterns and articulate design decisions and trade-offs for a senior (e.g., CIO) audience.
• Knowledge of underwriting platform architectures or high-level enterprise architecture principles is a plus.
• Experience with Information Security and Risk Management for AI/ML environments.
• Experience designing and implementing solutions in cloud environments (AWS/Azure) for large-scale AI/ML systems (IaaS, PaaS, SaaS, or hybrid models).
• Understanding of platform design and technology considerations to build out resilient and scalable AI ecosystems for model developers and data consumers.

The pay range for the role is $145,000 to $190,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.  Chubb offers a comprehensive benefits package, more details on which can be found on our careers website.  The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.