Job Description
What you will do
Design, build, and deploy AI-native enterprise applications using LLMs, GenAI, and Azure AI services
Develop full-stack solutions (Python, TypeScript, C#) integrated with secure, scalable cloud architecture
Implement RAG / GraphRAG-based solutions and AI-driven search and data workflows
Build and manage secure data connectors and enterprise system integrations
Ensure solutions meet enterprise standards for security, compliance, scalability, and reliability
Collaborate with security, IAM, and risk teams to ensure safe AI deployment
Take solutions from prototype through production, including monitoring and operational handoff
Document architecture, workflows, and best practices to support team enablement
What you will bring
8+ years of software engineering experience, including 3+ years in applied AI solution delivery
Strong hands-on experience with Azure AI services (OpenAI, Azure AI Studio/Foundry, Cognitive Search)
Proficiency in Python, TypeScript, and C#, with strong full-stack development experience
Deep understanding of LLMs, GenAI, RAG, and modern AI application architecture
Experience building secure, enterprise-grade systems with strong governance and compliance awareness
Familiarity with CI/CD pipelines, GitHub Enterprise, and modern DevOps practices
Ability to design scalable, production-ready AI systems in complex enterprise environments
Strong self-learning mindset with continuous adoption of emerging AI tools and technologies