Principal Python AI Architect for Enterprise AI

We are seeking a Principal-level Python AI Developer with extensive experience designing and delivering enterprise-scale AI solutions. The ideal candidate will join a cross-functional product team of software engineers, research scientists, and product managers to build AI-first applications using modern cloud technologies, Infrastructure as Code, and AI-assisted development tools. This role requires strong technical leadership, expertise in scalable distributed systems, and the ability to drive enterprise AI initiatives. Key Responsibilities • Design, develop, and deploy enterprise-scale AI applications using Python and modern software engineering practices. • Build scalable backend services and distributed systems to support AI-driven products. • Develop and maintain modern web applications, collaborating across backend and frontend technologies. • Design and implement cloud-native applications on AWS and/or Google Cloud Platform (GCP). • Develop and manage Infrastructure as Code (IaC) using Terraform. • Build, deploy, and maintain applications using GitLab CI/CD and cloud deployment pipelines. • Utilize AI-assisted development tools such as Claude, Codex, or similar platforms to improve engineering productivity. • Collaborate with software engineers, research scientists, and product managers throughout the product development lifecycle. • Lead technical design discussions and provide architectural guidance for AI-first software solutions. • Ensure applications meet enterprise standards for scalability, reliability, security, and performance. • Mentor engineering teams and promote best practices in AI-enabled software development. • Communicate technical solutions and architectural decisions effectively with stakeholders and leadership. Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related technical field. • 15+ years of software engineering experience. • Extensive experience designing and implementing enterprise-scale AI solutions. • Strong understanding of AI/ML technologies and modern software architecture. • Strong backend development experience with Python or a comparable backend language with the ability to read and work with Python. • Experience designing and deploying cloud-native applications on AWS and/or Google Cloud Platform (GCP). • Strong expertise in Infrastructure as Code (Terraform). • Experience with GitLab, CI/CD pipelines, and cloud deployment practices. • Experience using AI-assisted development tools such as Claude, Codex, or similar platforms. • Experience leading large technical initiatives and influencing engineering strategy. • Excellent analytical, problem-solving, communication, and stakeholder management skills. #J-18808-Ljbffr