Associate Director, AI Application Engineer

Responsibilities

• Lead a team of engineers tasked with design, development, and deployment of AI-enabled applications using .NET Core, C#, Python, and modern frameworks
• Define the technical vision and roadmaps, and actively engage with technology initiatives; integrate solutions with Azure, Google Cloud, and enterprise systems
• Manage the Development of Agents to interact with APIs, and other applications using techniques such as A2A and MCP, as well as ensure robust integration; collaborate work with architects to create solution designs and technical documentation
• Define standards and enforce code quality through reviews, automated testing, and adherence to Software Development Life Cycle (SDLC); drive DevOps and MLOps best practices
• Research emerging technologies, as well as recommend best-fit solutions and solution architectures; present solutions to both technical and non-technical stakeholders
• Lead troubleshooting of operational issues and performance optimization

Qualifications

• Minimum eight years of overall technology experience, including at least five years leading engineering teams and over two years of recent experience in bringing in AI platforms/Solutions to solve business problems and make a business impact, with practical experience in Python, Azure AI, Google AI services or similar capabilities on other cloud platforms
• Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED required
• Prior Full-stack development experience with HTML, CSS, JavaScript, React.js, Node.js, C# and TypeScript
• Strong experience in Azure AI stack, AKS, API development, and DevOps practices
• Proficiency in scripting (Python, PowerShell, BASH, YAML) and automation testing