What are the responsibilities and job description for the AI Architect position at MathCo?
Role - AI Architect
Location: Chicago, IL (Onsite/Hybrid)
Experience: 8–12 Years (Engagement Manager / Associate Principal)
Domain: Supply Chain
Please take a moment to review the job description before applying. We encourage applications only from candidates whose experience closely aligns with the role requirements.
Job Descriptio
nWe are seeking an experienced AI Architect to lead the design and implementation of enterprise AI solutions for Supply Chain transformation. This role requires a strong blend of Artificial Intelligence, Machine Learning, solution architecture, consulting, and stakeholder management to deliver scalable AI-driven business solutions
.The ideal candidate will work closely with business stakeholders, data scientists, engineers, and leadership teams to define AI strategies, architect intelligent solutions, and drive end-to-end implementation across supply chain functions
.
Roles & Responsibilities
- Lead the architecture and implementation of enterprise AI and Machine Learning solutions for Supply Chain transformation initiatives.
- Partner with business and technology stakeholders to identify AI opportunities and define scalable solution roadmaps.
- Design AI solutions for demand forecasting, inventory optimization, procurement, manufacturing, logistics, and supply planning use cases.
- Collaborate with Data Scientists, AI Engineers, and Data Engineers to develop production-ready AI applications.
- Define AI architecture standards, technology selection, and best practices for enterprise deployments.
- Provide technical leadership throughout the solution lifecycle, from ideation to production deployment.
- Present solution recommendations and architecture approaches to client leadership and executive stakeholders.
- Evaluate emerging AI technologies, including Generative AI, to drive innovation across client engagements.
- Mentor engineering teams and contribute to AI capability development within the organizations.
Skills Required
Technical Expertise
- Strong experience designing enterprise AI and Machine Learning solutions.
- Hands-on knowledge of AI/ML frameworks, Generative AI, LLMs, and modern AI architectures
- Experience with cloud platforms such as Azure, AWS, or GCP for AI solution deployment.
- Strong understanding of data engineering, model deployment, MLOps, and AI application architecture.
- Proficiency in Python, SQL, and modern AI development frameworks.
Supply Chain & Consulting Skills
- Experience delivering AI solutions for Supply Chain business functions.
- Strong understanding of demand planning, inventory optimization, procurement, logistics, and manufacturing processes.
- Ability to translate business requirements into scalable AI solutions.
- Excellent stakeholder management and executive communication skills
Leadership
- Experience leading cross-functional teams across AI, engineering, and business functions.
- Strong decision-making, problem-solving, and technical mentoring capabilities
- Ability to drive AI adoption and enterprise transformation initiatives.
Qualifications & Experience
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
- 8–12 years of experience in AI, Machine Learning, Solution Architecture, or Data Science.
- Experience designing and delivering enterprise AI solutions is mandatory.
- Exposure to Generative AI and cloud-native AI platforms is preferred.
- Experience working in consulting or client-facing environments is highly preferred.