Responsibilities

• Architect and develop AI-enabled applications leveraging LLMs, ML models, GenAI, RAG/GraphRAG, and NLP/NLM techniques
• Build and maintain full-stack web applications, ensuring production readiness, security, scalability, and resilient solutions in conjunction with cybersecurity, risk, and IAM teams
• Design, implement, secure, and manage data connectors and integrations for AI use
• Document architecture, workflows, and best practices; contribute to internal learning and knowledge sharing

Required Experience

• 10+ years of software engineering experience, including at least 5 years delivering applied AI solutions
• Experience with Azure AI platforms (OpenAI, AI Studio/Foundry, Cognitive Search), Azure Functions, and one of the following LLMs: Claude, Copilot, Codex, Windsurf, or similar
• Strong proficiency in Python, TypeScript, and C#, with experience building full-stack applications and HTTP-based APIs/middleware
• Experience with GitHub, VS Code, and CI/CD pipelines
• Deep understanding of enterprise data security, governance, and compliance
• Foundational knowledge of LLM AI models, MCP, and RAG
• Demonstrated self-learning and continuous upskilling in AI tools, models, and capabilities
• Bachelor's or Master's degree in Computer Science or a related field (or equivalent experience)

Preferred Qualifications

• Experience leading engineering efforts and collaborating with domain experts to build software that transforms and improves business processes
• Experience working from written specifications and/or with product management teams
• Experience in highly regulated industries such as healthcare or financial services (FinTech)
• Familiarity with security processes and requirements
• Experience leading teams, mentoring outsourced engineers, providing stakeholder feedback, and influencing technical and product roadmaps
• Experience with Dataverse, Microsoft Fabric, and similar technologies