Serve as the technical lead for AI-driven application development projects.
Architect, design, and build production-grade, scalable, and secure cloud-native systems using Azure, Docker, and Kubernetes.
Lead and mentor onshore and offshore engineering teams, focusing on AI adoption to improve code quality and delivery efficiency.
Develop and deploy full-stack applications leveraging .NET, API integration, React (ideal), SQL Server, C#, Python, and JavaScript/TypeScript.
Integrate and deliver multiple AI use cases into large-scale production environments, emphasizing generative AI, LLMs, Azure AI search, and agentic systems.
Provide hands-on technical leadership, architecture, and development, as well as client-facing execution and coaching.
Collaborate with cross-functional teams to deliver measurable business outcomes through AI experimentation pilots and LLM-powered applications (e.g., chatbots, document intelligence).
Ensure best practices in software engineering, architecture discipline, and security within the development lifecycle.
Maintain and enhance technical documentation, standards, and processes for AI tools and services.
Communicate effectively with stakeholders and provide technical expertise across the organization’s AI initiatives.
Must be able to provide 2 manager references and be eligible for conversion without sponsorship.