Principal AI software Architect

Our client is seeking a highly experienced Principal AI Software Architect to lead the design, development, and implementation of enterprise-scale artificial intelligence and software engineering solutions. This role combines deep technical expertise in AI/ML technologies with strategic software architecture leadership to drive innovation, scalability, and operational excellence across the organization.

The ideal candidate will have a proven track record of architecting and delivering AI-powered platforms, establishing engineering best practices, and leading cross-functional teams in the successful execution of complex technology initiatives., * Architect and lead the development of AI-driven platforms and scalable software systems aligned with strategic business objectives.

• Partner with engineering, product, and business stakeholders to identify opportunities and deliver impactful AI and software solutions.
• Evaluate, select, and implement AI technologies, development frameworks, and architectural standards to optimize performance, scalability, and maintainability.
• Establish and promote best practices across AI model development, MLOps, software engineering, DevOps, and system architecture.
• Mentor and guide engineering teams while fostering a culture of technical excellence, innovation, and continuous improvement.
• Define technical strategy and long-term architectural roadmaps that support enterprise growth and transformation initiatives.
• Ensure compliance with data privacy regulations, security policies, and ethical AI standards.
• Champion engineering quality through code reviews, automated testing, CI/CD pipelines, and Agile delivery methodologies.
• Provide thought leadership on emerging technologies and industry trends.
• Perform additional duties as assigned.

• Demonstrated success driving innovation through emerging technologies and modern software development methodologies.
• Exceptional leadership, communication, and stakeholder management skills with experience mentoring technical teams.
• Proven experience designing and deploying enterprise-scale AI/ML and software solutions within cloud environments such as Azure, AWS, or Google Cloud Platform (Google Cloud Platform).
• Deep expertise in:
• Machine Learning (ML)
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Generative AI and Large Language Models (LLMs)
• Strong strategic thinking skills with the ability to align technical vision to business outcomes.
• Ability to influence and build consensus across executive leadership, technical teams, and business stakeholders.
• Advanced proficiency in software architecture, application development, and enterprise system design.
• Strong knowledge of data governance, privacy regulations, and AI security best practices.
• Exceptional analytical, problem-solving, and decision-making abilities.
• Excellent written, verbal, presentation, and consultative communication skills.
• Ability to manage multiple priorities and deliver results in a fast-paced environment.
• Strong collaborative mindset with experience working in cross-functional teams.

Technical Requirements

• Expertise with modern programming languages and frameworks, including .NET/C#, Python, Java, or comparable technologies.
• Experience building cloud-native applications and microservices architectures.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, Azure AI Services, AWS SageMaker, or equivalent platforms.
• Experience implementing MLOps practices, model lifecycle management, and enterprise AI governance.
• Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
• Strong experience with CI/CD automation and DevOps practices., * Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field. Equivalent experience will be considered.
• 7+ years of experience in software engineering and architecture roles, including enterprise application design and development.
• 2+ years of experience focused on AI/ML systems, generative AI, or intelligent automation initiatives.
• 5+ years of hands-on development experience using application development tools such as Visual Studio and the Microsoft .NET ecosystem.
• 5+ years of experience working with relational database technologies, preferably Microsoft SQL Server.
• Experience leading large-scale enterprise software and AI transformation initiatives is strongly preferred.