AI Architect- Associate Director

Responsibilities

• Design and document robust, scalable microservice architectures for key product features, providing direct technical guidance to development teams
• Collaborate daily with senior developers, QA, and product managers to define technical requirements, refine user stories, and ensure architectural integrity throughout the development lifecycle
• Implement and enforce best practices for code quality, automated testing, and AI model evaluation using LangSmith, directly contributing to the continuous improvement of our engineering standards
• Lead the detailed technical design and successful execution of critical platform components, including context engineering services, RAG pipelines, and intuitive human-in-the-loop (HITL) interfaces
• Serve as a primary technical leader and mentor for development pods, providing architectural oversight through design reviews, pair programming, and resolving complex technical hurdles during sprints
• Balance long-term architectural planning with hands-on prototyping and proof-of-concepts to validate new technologies and patterns before they are adopted across the engineering team

Qualifications

• Minimum eight years of recent progressive experience in software development and architecture, with significant, demonstrated experience in designing and building cloud-native AI applications
• Bachelor's degree from an accredited college or university; master's degree from an accredited college or university in Computer Science, Engineering, or a related technical field is preferred
• Strong, hands-on proficiency with LLM frameworks (LangChain/LangGraph), core Azure services (AKS, Azure AI Search, Service Bus), and experience integrating with data platforms like Databricks or Microsoft Fabric
• In-depth experience working within an Agile framework, utilizing Azure DevOps and Git for source control, and a strong practical understanding of CI/CD principles
• Excellent analytical and problem-solving skills, with a proven ability to deconstruct large-scale business problems into manageable, well-designed technical solutions
• Clear and effective interpersonal and communication skills, essential for collaborating within a fast-paced, multi-disciplinary team of engineers, data scientists, and product managers