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 the space for authenticity, growth, and equity for everyone.
AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working, with an expectation of being in-person 2-3 days per week. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.
This is a full time Senior Vice President position. Relocation assistance is not available for this position.

ADDITIONAL QUALIFICATIONS

• Advanced certifications or publications in AI, deep learning, or related fields
• Applied AI/ML technology in business consulting fields
• Contributions to open-source projects or active involvement in tech communities or academia
• Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers
  The salary range for this role takes into account a number of factors and is between $160,000/year - $310,000 range/year with potential eligibility for an annual discretionary bonus.
  This job post will remain open until September 30, 2025.
  AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Silver award-winning Veteran Friendly Employer.

As a Staff AI & Machine Learning Engineer, you will be responsible for implementing AI/ML solutions across our product and platform portfolio. This role requires strong technical skills and a focus on delivering practical, business-driven outcomes. You will work hands-on with cross-functional teams to bring innovative technologies to life at various stages of product maturity. Your focus will be on the technical execution, including evaluating technical tradeoffs, and directly contributing to the solution design and codebase within product innovation squads. Additionally, you will promote and demonstrate our technical advancements across the organization.

This role is a blend of software engineering, data science, and product delivery. You’ll be actively building and refining proof-of-concepts with frontline teams, working to scale these solutions to enterprise-ready maturity. You will partner closely with product and consulting teams to drive AlixPartners’ innovation forward in a hands-on, practical way.

• Technical Leadership: Actively contribute hands-on technical guidance to engineering teams throughout the product lifecycle. Collaborate directly with architects, UX designers, and front-end developers to design, code, and implement new features and capabilities. Provide development estimates and ensure that implemented features align with product goals and quality standards.
• Solution Development: Use your expertise in AI/ML to drive client-focused, hands-on solution design and coding efforts, ensuring we deliver impactful results when it matters most.
• Technical Decision-Making: Recommend and implement technical solutions, including data engineering pipelines, back-end technology, AI/ML models, and DevOps solutions, aligning them with business needs.
• Commercial Impact: Promote user and client adoption of our technical solutions, contributing to the market recognition of our innovative edge.
• Continuous Improvement: Stay updated with the latest advancements in AI and related technologies, and bring emerging technologies and best practices to drive continuous improvement in AI-driven product development.
• Technology Evangelism: Advocate for and promote technology innovation strategies within the organization, fostering a culture of hands-on innovation and technical excellence.