Enterprise AI Solutions Engineer

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results‑oriented professionals. We take a hands‑on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

A&M is seeking an Enterprise AI Solutions Engineer to sit at the intersection of engineering, product, and practical AI delivery. In this role, the successful candidate will design, build, and implement intelligent technology solutions that help organizations move faster, eliminate manual work, and drive measurably better business outcomes. As AI moves from experimentation to production across the enterprise, this role serves as the critical bridge between technical execution and business impact.

This is a senior technical role that carries both deep engineering ownership and direct internal client responsibility. The Enterprise AI Solutions Engineer will work closely with product and business stakeholders to understand requirements, shape solutions, and oversee delivery from concept to production. The role is supported by internal developers as well as external development resources, requiring strong organizational and coordination skills to maintain alignment across teams.

Exceptional communication, collaboration, and interpersonal skills are essential, as the Tech Lead serves as the primary technical authority and point of accountability for stakeholders at all levels.

• Drive the Technical Solution:
  Own end-to-end technical delivery across frontend, backend services, APIs, and cloud infrastructure. The Enterprise AI Solutions Engineer serves as the primary technical owner accountable for quality, reliability, and production readiness. The role demands a deep enough technical command to provide meaningful guidance and oversight across the full development team.
• Product and Business
  
  Collaboration:
  
  Partner closely with product managers and business line leads to identify where technology and AI can deliver the greatest impact. Contribute to requirements definition, challenge assumptions where appropriate, and provide a grounded engineering perspective in strategic planning discussions. Communicate technical trade‑offs clearly and credibly to non-technical stakeholders.
• Oversee Implementation:
  Drive delivery from design through deployment. Manage and coordinate the work of internal developers and external development partners, ensuring alignment on requirements, standards, and delivery expectations. Define and enforce engineering practices including code review, testing, and release gating to maintain quality and delivery velocity across all teams.
• AI Use Case Development:
  Work with leadership to Identify, design, and develop AI‑powered solutions that improve organizational efficiency and reduce manual effort. Collaborate with business and product partners to assess where AI can deliver the most meaningful value, then lead the effort to bring those opportunities to production as reliable, scalable tools and workflows.
• Stakeholder Communication:
  Maintain clear and consistent communication across all levels of the organization, from engineering teams to executive leadership. Frame problems with precision, articulate technical decisions in accessible language, and ensure all parties remain informed and aligned throughout the project lifecycle. Build trust with internal clients through consistent delivery and proactive communication.
• Engineering Standards and Mentorship:
  Establish and uphold development practices, CI/CD pipelines, documentation standards, and code quality expectations.
• Problem Discovery:
  Proactively identify bottlenecks and unmet needs through close partnership with product and business stakeholders. Apply sound prioritization judgment to focus efforts on initiatives that deliver measurable impact, and bring…