Enterprise AI Solutions Engineer

About the role

The Enterprise AI Solutions Engineer plays a critical role at Alvarez & Marsal, bridging the gap between technical execution and business impact. This role requires a deep understanding of AI technologies and a proven track record of delivering impactful solutions.

Responsibilities

• Drive the technical solution by owning end-to-end technical delivery across frontend, backend services, APIs, and cloud infrastructure.
• Partner closely with product managers and business line leads to identify where technology and AI can deliver the greatest impact.
• Communicate technical trade-offs clearly and credibly to non-technical stakeholders.
• Oversee implementation from design through deployment, managing and coordinating the work of internal developers and external development partners.
• Work with leadership to identify, design, and develop AI-powered solutions that improve organizational efficiency and reduce manual effort.
• Maintain clear and consistent communication across all levels of the organization, from engineering teams to executive leadership.
• Establish and uphold development practices, CI/CD pipelines, documentation standards, and code quality expectations.
• Proactively identify bottlenecks and unmet needs through close partnership with product and business stakeholders.
• Lead and mentor offshore teams to create architecture and development.

Qualifications

• 10+ years of full stack engineering experience, with at least 2 years in a tech lead or solution architect capacity.
• Strong background across frontend, backend services, APIs, and cloud infrastructure, with demonstrated ability to guide and evaluate the work of others.
• Proven experience leading and coordinating development teams, including internal engineers and external vendors or contractors.
• Designed and deployed data and AI solutions in Azure cloud.
• 2 – 5 years of experience with Generative / Agentic AI.
• Demonstrated background in solution architecture, including the design of distributed systems, scalable integrations, and multi-team delivery models.
• Hands-on experience building AI-powered applications, including LLM integrations, RAG architectures, vector databases, embeddings, and modern AI frameworks and SDKs.
• Demonstrated ability to engage directly with product and business stakeholders, from requirements gathering through implementation oversight.
• Exceptional communication and interpersonal skills, with the ability to engage credibly across engineering, product, and business leadership, adapting communication style to the audience.
• Demonstrated ability to operate effectively in ambiguous environments, establishing structure and clarity where requirements are not fully defined.
• Knowledge of enterprise security standards including SSO, SAML, OIDC, audit logging, and compliance controls is a plus.

Benefits

Regular employees working 30 or more hours per week are entitled to participate in Alvarez & Marsal Holdings' fringe benefits, including healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages. Additionally, employees are eligible for paid time off, including vacation, personal days, sick time, and parental leave. The salary range is $200,000-$225,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. A&M offers a discretionary bonus program based on individual and firm performance.

Culture & Values

At Alvarez & Marsal, our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide everything we do, shaping a culture rooted in entrepreneurship, impact, and integrity. We trust our people to take ownership early, contribute to meaningful challenges, and drive results that matter. We empower growth and champion diverse perspectives. Above all, we value doing the right thing.