AI Engineers - Insurance, 50k

As an AI Engineer, your main responsibilities will include:

AI Application Development

• Develop end-to-end AI-enabled applications, including frontend, backend, APIs, and AI/ML integrations.
• Build scalable AI platforms leveraging technologies such as Agentic AI, MCP, and LLM services.
• Ensure solutions are secure, reliable, scalable, and maintainable.

AI Platform & Innovation

• Develop reusable AI platform components, including orchestration services, prompt management, data connectors, and monitoring capabilities.
• Integrate AI/ML models such as NLP, RAG, classification, and recommendation engines into production systems.
• Rapidly prototype AI use cases, validate feasibility, and scale successful solutions.
• Establish engineering standards and best practices for AI application development.

Stakeholder Engagement

• Partner with business users, product owners, and operations teams to understand requirements and identify AI-driven opportunities.
• Translate business needs into technical designs, user stories, and delivery plans.
• Support solution delivery through discovery, UAT, deployment, and post-go-live activities.
• Provide technical guidance on AI, automation, and process optimization.

Cloud & Integration Engineering

• Build backend services and integrations using Node.js, Python, Java, or C#.
• Develop cloud-native solutions using Azure services such as Functions, Logic Apps, Data Factory, API Management, and container platforms.
• Design and implement data pipelines to support AI and analytics workloads.
• Collaborate with regional and group IT teams to align with enterprise architecture standards.

Engineering Excellence

• Apply best practices in testing, code reviews, CI/CD, observability, and DevOps.
• Troubleshoot production issues and implement long-term improvements.
• Produce technical documentation and operational handover materials.