onsite
Staff Software Engineer - AI - The Hartford
Software Engineer
Lead the design, development, and deployment of AI and machine‑learning solutions, leveraging Python, TensorFlow, and cloud services to deliver scalable, production‑grade models for insurance analytics.
About the role
Key Responsibilities
- Architect, build, and deploy end‑to‑end AI/ML pipelines that integrate with existing insurance data platforms.
- Lead a cross‑functional team in developing production‑grade models using Python and TensorFlow, ensuring performance, reliability, and scalability.
- Design and implement cloud‑native infrastructure on AWS, including container orchestration with Kubernetes and automated CI/CD workflows.
- Collaborate with product owners and data scientists to translate business requirements into technical specifications and actionable AI solutions.
- Establish best practices for model monitoring, versioning, and continuous improvement in a regulated environment.
Requirements
- 5+ years of professional software engineering experience with a focus on AI/ML development.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience designing, deploying, and scaling services on AWS using Kubernetes and CI/CD pipelines.
- Demonstrated ability to lead technical projects, mentor engineers, and drive adoption of AI solutions across business units.
- Bachelor’s or higher in Computer Science, Engineering, or a related field; advanced degree preferred.
Skills
pythonmachine learningtensorflowawskubernetescicd