At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices.
We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone.
What you’ll do
The IT Architecture Lead Architect – AI is responsible for architecting and delivering enterprise-grade AI and machine learning solutions that drive measurable business transformation. This role ensures that AI systems are scalable, secure, and deeply aligned with enterprise platforms and strategic objectives. The Lead Architect manages medium to large work efforts as assigned by leadership, with primary upward interaction directed to their direct leader and executive IT leadership, and regular engagement across peers and other management levels, bringing together deep technical expertise across data science, software engineering, and AI frameworks with the strategic perspective needed to translate complex business challenges into intelligent, high-impact solutions.
This includes leading initiatives that enhance operational efficiency, enable predictive insights, and support scalable AI architectures.
requirements
, shaping solution approaches, and ensuring delivery teams execute with clarity and precision. You will also play an active role in growing organizational AI capability, mentoring early-career staff and contributing meaningfully to the enterprise AI maturity roadmap. The IT Architecture Lead Architect - AI is a full-time role located in Southfield, MI reporting to the IT Architecture Integration Manager .
Paid relocation is not available. Serves as design authority for AI architecture within Corporate Applications AI Model Development: Design, build, and optimize machine learning and deep learning models using frameworks like TensorFlow, PyTorch, and Keras. , CRM, ERP, POS) for AI use cases.
Deployment Scalability: Lead the deployment of AI models into production environments, ensuring performance, scalability, and compliance with enterprise standards.
responsibilities
as identified.
responsibilities
. What you’ll bring 5+ years of professional experience in software development, data engineering, data science, or machine learning roles 5+ years of hands‑on experience building, training, and deploying machine learning or AI models in a production environment 3+ years of experience working with large‑scale data systems (e.g., data lakes, data warehouses, distributed processing frameworks such as Spark) 3+ years of experience with Python and at least one ML/AI framework (e.g., TensorFlow, PyTorch, scikit‑learn, Hugging Face) 2+ years of experience deploying AI/ML solutions to cloud platforms (Azure, AWS, or GCP), including CI/CD and MLOps practices Demonstrated experience translating business
requirements
into AI‑driven solutions with measurable outcomes Strong capability to influence and partner across functions, driving alignment and outcomes withou
