IT Architecture Lead Architect - AI

AlixPartners•Detroit, MI

2d•Hybrid

About The Position

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. 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. 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 Applications AI Model Development: Design, build, and optimize machine learning and deep learning models using frameworks like TensorFlow, 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 DevOps 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.

Requirements

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 without relying on formal authority with demonstrated commitment to collaboration, inclusion, and professionalism, fostering productive working relationships
Experience leading complex initiatives and improving processes, tools, or operating models at a functional level
Sound judgment in identifying, anticipating, and mitigating risk within scope of responsibility
Excellent written and verbal communication skills in English, with the ability to convey complex information clearly to senior stakeholders
Highly organized with excellent organizational skills with experience operating in time-sensitive, ambiguous environments, balancing competing priorities with sound judgment and discretion.
Demonstrated commitment to collaboration, inclusion, and professionalism, fostering productive working relationships
Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization

Responsibilities

Architecting and delivering enterprise-grade AI and machine learning solutions that drive measurable business transformation.
Ensuring that AI systems are scalable, secure, and deeply aligned with enterprise platforms and strategic objectives.
Managing medium to large work efforts as assigned by leadership.
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.
Leading initiatives that enhance operational efficiency, enable predictive insights, and support scalable AI architectures.
Serving as a trusted partner to business and technology stakeholders — gathering requirements, shaping solution approaches, and ensuring delivery teams execute with clarity and precision.
Playing an active role in growing organizational AI capability, mentoring early-career staff and contributing meaningfully to the enterprise AI maturity roadmap.
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.
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 DevOps 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

Benefits

health
vision
dental
disability
401K
tuition reimbursement
identity theft protection
mental wellness support
generous paid leave policy including vacation/personal time starting at 7.34 hours per pay period
sick time up to 80 hours annually
parental leave
twelve holidays