onsite
AI Engineer - Insight Global
AI Engineer
Lead the design, implementation, and scaling of agentic AI solutions on Azure, driving AI tooling strategy and translating emerging capabilities into business value for a leading insurance company.
About the role
Key Responsibilities
- Architect and develop end‑to‑end AI pipelines using Python and Azure services (Data Factory, Synapse, ML Studio).
- Design agentic AI systems that automate and enhance insurance workflows, ensuring scalability and reliability.
- Collaborate with data scientists and product teams to translate business requirements into robust AI models and tooling.
- Lead the selection and integration of AI frameworks, libraries, and cloud resources to support rapid experimentation.
- Monitor model performance, implement continuous improvement cycles, and maintain governance and compliance standards.
Requirements
- Strong programming skills in Python with experience in data engineering and ML workflows.
- Proven expertise in Azure cloud platform, including data services and AI/ML offerings.
- Hands‑on experience building and deploying agentic or generative AI solutions.
- Excellent problem‑solving abilities and a forward‑thinking mindset.
- Effective communication skills to influence cross‑functional teams and stakeholders.
Skills
pythonazuremachine learning