Sr. AI Solution Architect

Job Title: Sr Solution Architect AI
Location: Chicago, IL (Remote in CST hours)
Duration: Direct Hire
THE IMPACT YOU CAN HAVE:
The Sr Solution Architect AI helps to lead artificial intelligence and machine learning initiatives at client side, directing multiple Agile PODs focused on developing AI-powered solutions. This role serves as the technical bridge between data science, engineering, shared services, and product management to deliver transformative AI products. The Sr Solution Architect is responsible for guiding delivery teams through the complete AI product development lifecycle from conception to deployment and continuous improvement. They will drive innovation in personalization technologies, operational efficiency, and customer experience enhancements while establishing best practices for AI development, implementation and operation.

ESSENTIALS FOR SUCCESS:
Master's degree in Computer Science, Data Science, AI/ML, or equivalent professional experience
10+ years of experience in AI/ML product development or related technical fields 4+ years of experience leading teams of data scientists, AI engineers or architects
Demonstrated success leading AI initiatives in personalization, recommendation systems, computer vision, or operational efficiency
In-depth knowledge of machine learning algorithms, frameworks, and best practices
Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, etc.) and cloud-based AI services
Proven experience with agile methodologies in the context of AI/ML
Strong experience managing the full AI product lifecycle
Track record of implementing successful AI solutions that delivered measurable value
Experience with MLOps practices and tools for model deployment and monitoring
Demonstrated ability to translate complex business problems into AI solution approaches
Excellent communication skills with ability to explain AI concepts to both technical and non-technical audiences
Experience in retail or e-commerce preferred
Familiarity with AI governance, ethics, and responsible AI implementation
Ability to work effectively in an onshore/offshore development model
Travel required per the company policy