IT Architecture Lead Architect - AI
Job in
Southfield, Oakland County, Michigan, 48076, USA
Listed on 2026-06-21
Listing for:
AlixPartners GmbH
Full Time
position Listed on 2026-06-21
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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LOCATION:
Southfield, MI (Hybrid)
What you'll doThe 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. You will serve as a trusted partner to business and technology stakeholders — gathering 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 ApplicationsAI Model Development:
Design, build, and optimize machine learning and deep learning models using frameworks like Tensor Flow, PyTorch, and Keras.
Data Engineering & Integration:
Develop robust data pipelines and ensure data readiness across business applications (e.g., 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.
Cross-Functional Collaboration:
Partner with product managers, business analysts, and Dev Ops teams to translate business needs into technical solutions and integrate AI into core business functions
Oversee and document all aspects of the specific projects that are assigned
Additional responsibilities as identified. This description is not designed to encompass a comprehensive list of required activities, duties or responsibilities.
What you'll bring5+ years of professional experience in software development, data engineering, data science, or machine learning roles5+ years of hands‑on experience building, training, and deploying machine learning or AI models in a production environment3+ 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., Tensor Flow, 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 without relying on formal authority with demonstrated commitment to collaboration, inclusion, and professionalism, fostering productive working relationships
Experience leading complex…
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