Principal AI Software Architect- C2H

No Third Party C2C for this job openingThe Role: Principal AI Software ArchitectLocation: RemoteType: Contract to hireWhat You’ll Do:The Principal Artificial Intelligence (AI) Software Architect leads the design, development, and deployment of advanced AI and software engineering solutions across the enterprise. This role blends deep expertise in artificial intelligence with architectural leadership in software systems, driving innovation, scalability, and excellence in engineering practices.Responsibilities include:Architects and leads the development of AI-driven platforms and scalable software systems aligned with strategic business goals.Collaborates cross-functionally with engineering, product, and business teams to define use cases and deliver impactful solutions.Evaluates and selects AI and software technologies, frameworks, and tools for optimal performance, scalability, and maintainability.Establishes and promotes best practices in AI model development, MLOps, software engineering, DevOps, and system architecture.Mentors engineering teams, fostering a culture of innovation, excellence, and continuous improvement.Drives technical strategy and long-term planning, aligning engineering efforts with enterprise objectives.Ensures compliance with data privacy, security, and ethical standards in all AI and software initiatives.Champions engineering excellence through code reviews, automated testing, CI/CD, and agile methodologies.Other duties as needed or assigned.Required Qualifications:Bachelor’s degree in the field of computer science, information systems, or computer engineering or equivalent experience.7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems.5+ years of hands-on experience with application development tools, including Visual Studio .NET.5+ years of hands-on experience with relational database technology, preferably MS SQL Server.Hands-on experience driving innovation through emerging technologies and methodologies.Excellent communication skills and leadership skills with a track record of mentoring and influencing teams.Proven experience designing and deploying AI/ML and software solutions at scale in cloud environments such as Azure, AWS, GCP.Expertise in machine learning, deep learning NLP, computer vision, and generative AI.