Drive critical initiatives forward rapidly as part of an agile, embedded expert team
Deploy Principal-Vetted talent directly into partner technical teams
Participate in high-level engineering efforts to simplify cloud growth

4+ years of software engineering experience
2+ years integrating ML or LLM models into production systems
Strong proficiency in Python with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
Hands-on experience with Generative AI, RAG architectures, and agentic AI frameworks (LangChain, LangGraph, or equivalent)
Ability to integrate AI services into an existing .NET / C# / SQL Server backend without a full rewrite
Experience with containerized deployment using Docker and Kubernetes
Experience with REST API design connecting AI systems to third-party services and internal platforms
Comfortable working within a CI/CD pipeline managed through Azure DevOps and Git
Experience with workflow orchestration tools (Temporal, Step Functions, Airflow, or similar)
Strong MLOps understanding: model versioning, CI/CD, monitoring, and production incident response
Hands-on experience with AI systems for insurance claims, fleet management, or a closely related domain (P&C, auto, or commercial lines)
Working knowledge of the claims lifecycle: intake, investigation, adjudication, settlement, and recovery
Familiarity with claims management systems and integration patterns used in insurance environments
AWS Certified Machine Learning – Specialty or equivalent certification (NICE TO HAVE)
Experience with Azure AI services or OpenAI APIs (NICE TO HAVE)
Knowledge of data privacy and compliance standards relevant to insurance (GDPR, HIPAA, or equivalent) (NICE TO HAVE)

AI/ML Engineer, Azure

Key skills