The Principal AI Software Architect leads the design, development, and deployment of AI and software engineering solutions across the enterprise, driving innovation, scalability, and engineering excellence.

PRINCIPAL RESPONSIBILITIES

1. Architect and lead AI-driven platforms and scalable software systems aligned with business goals.
2. Partner with engineering, product, and business teams to define use cases and deliver solutions.
3. Evaluate and select AI and software technologies, frameworks, and tools.
4. Promote best practices in AI model development, MLOps, DevOps, and system architecture.
5. Mentor engineering teams and foster a culture of innovation and continuous improvement.
6. Drive technical strategy and long-term planning aligned with enterprise objectives.
7. Ensure compliance with data privacy, security, and ethical standards.
8. Champion engineering excellence through code reviews, automated testing, CI/CD, and agile practices.
9. Perform other duties as assigned.

SKILLS AND ABILITIES

1. Proven experience designing and deploying AI/ML solutions at scale on cloud platforms (Azure, AWS, GCP).
2. Expertise in machine learning, deep learning, NLP, computer vision, and generative AI.
3. Strong leadership, communication, and mentoring skills, with the ability to build trust and influence at all levels.
4. Strategic thinking that aligns technical vision with business objectives.
5. Advanced knowledge of programming languages and data privacy practices and laws.
6. Strong analytical and problem-solving abilities.
7. Ability to prioritize in a high-pressure, collaborative, team-oriented environment.

MINIMUM QUALIFICATIONS

1. Bachelor’s degree in computer science, information systems, or computer engineering, or equivalent experience.
2. 7+ years in software architecture and engineering, including 2+ years in AI/ML systems.
3. 5+ years with application development tools, including Visual Studio .NET.
4. 5+ years with relational databases, preferably MS SQL Server.