Enterprise AI Solutions Architect

Alvarez & Marsal Deutschland GmbH; Atlanta (GA); On-site; USD 195,000 - 230,000; Full time

Job summary

Alvarez & Marsal Deutschland GmbH seeks an Enterprise AI Solutions Architect. You will own end‑to‑end architecture for AI and cloud solutions, translating business needs into scalable designs and production‑ready systems.

The role blends leadership with hands‑on engineering across Azure, AI services, APIs, and data platforms. You will guide offshore and internal teams, ensure security and reliability, and communicate effectively with stakeholders.

Qualifications

• 10+ years of software engineering, solution architecture, or full‑stack development experience.
• At least 6 years as a Solution Architect or equivalent senior role.
• Deep experience with Microsoft Azure cloud deployments.
• Hands‑on architect with ability to design, code, prototype, integrate and troubleshoot.
• Experience in building AI‑powered applications using LLMs, RAG, vector DBs, embeddings.
• Proven ability to lead offshore development teams and multi‑team delivery.
• Strong understanding of security, scalability, reliability and observability.
• Excellent communication with product, business stakeholders and executives.

Responsibilities

• Own end-to-end architecture of enterprise AI and tech solutions across frontend, backend, data, AI services, and Azure.
• Translate requirements into scalable, secure, maintainable architectures and roadmap.
• Develop architecture diagrams, data flows, and implementation approaches for teams.
• Maintain hands‑on involvement ~50%: design, code, prototype, integrate, troubleshoot.
• Lead product partnerships and governance while delivering production‑ready solutions.

Skills

Experience: 10+ yrs in software/arch

Hands-on architect

Azure expertise

Generative AI / AI SDKs

Distributed systems

Security & compliance

Technical leadership

Offshore collaboration

CI/CD / DevOps

Communication with stakeholders

Tools

Azure

AI SDKs

Job description

Description

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 on our clients and shape our industry.

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 on our clients and shape our industry.

The Team

A&M is seeking an Enterprise AI Solutions Architect to sit at the intersection of enterprise architecture, AI engineering, product, and practical technology delivery. This role will be responsible for designing and delivering scalable, secure, AI-enabled solutions that help the organization move faster, eliminate manual work, and drive measurable business outcomes.

This is a senior technical architecture role that is approximately 50% hands-on. The successful candidate will not only define solution architecture and technical direction but will also actively participate in building, prototyping, coding, integrating, and troubleshooting solutions.

The Enterprise AI Solutions Architect will work closely with product managers, business stakeholders, internal development teams, and external development partners to translate business requirements into scalable technical architectures and production-ready solutions.

The role will provide technical leadership to internal and offshore development teams while remaining directly involved in development and implementation. Strong architecture expertise, hands-on engineering capabilities, organizational skills, and the ability to communicate effectively with both technical and non-technical stakeholders are essential.

How You Will Contribute

Solution Architecture & Technical Strategy

Own the end-to-end architecture of enterprise AI and technology solutions across frontend applications, backend services, APIs, data platforms, AI services, integrations, and Azure cloud infrastructure.

Translate business and product requirements into scalable, secure, maintainable solution architectures and define the technical roadmap required to move solutions from concept through production.

Develop architecture diagrams, solution designs, integration patterns, data flows, technical specifications, and implementation approaches that provide clear direction to development teams.

Hands-On Architecture & Development – Approximately 50%

• Maintain significant hands‑on involvement throughout the development lifecycle, spending approximately 50% of the role actively hands on - designing, building, prototyping, coding, integrating, leading developers and troubleshooting solutions.
• Develop proofs of concept and production components, particularly for complex AI, integration, API, and cloud architecture challenges.
• Work directly with developers on- and off‑shore to solve difficult technical problems, review and improve code, validate architectural approaches, and ensure that architecture decisions translate effectively into working software.

AI Solution Architecture

• Architect and develop enterprise AI solutions using Azure, Generative AI, Agentic AI, LLMs, Retrieval-Augmented Generation (RAG), vector databases, embeddings, orchestration frameworks, APIs, and related technologies.
• Evaluate AI technologies, frameworks, platforms, and architectural approaches and determine the appropriate solution based on business requirements, scalability, security, performance, maintainability, and cost.
• Design AI solutions that can move successfully from proof of concept into secure, reliable, enterprise-scale production environments.

Key Functions:

• Product & Business Partnership
• Technical Leadership & Delivery
• Engineering Standards & Governance
• Stakeholder Communication
• Problem Discovery & Innovation
• Team Leadership

Qualifications

• 10+ years of software engineering, solution architecture, or full-stack development experience, including at least 6 years as a Solution Architect, Enterprise Architect, Technical Architect, or comparable senior technical role.
• Demonstrated ability to operate as a hands‑on architect, with current technical skills and the ability to spend approximately 50% of the role designing, coding, prototyping, integrating, and troubleshooting solutions.
• Deep experience designing and deploying enterprise solutions within Microsoft Azure.
• Generative AI and/or Agentic AI technologies and architectures.
• Hands‑on experience building AI‑powered applications using technologies such as LLMs, RAG architectures, vector databases, embeddings, AI agents, orchestration frameworks, and modern AI SDKs.
• Demonstrated experience designing distributed systems, scalable integrations, APIs, event‑driven architectures, and multi‑team delivery models.
• Strong understanding of enterprise architecture principles including scalability, security, reliability, resiliency, observability, maintainability, and performance.
• Experience taking AI solutions from proof of concept through enterprise production deployment.
• Proven experience providing technical leadership to internal, offshore, and/or external development teams.
• Strong understanding of software engineering practices including source control, code review, automated testing, CI/CD, DevOps, monitoring, and production support.
• Demonstrated ability to work directly with product managers and business stakeholders from discovery and requirements gathering through architecture, implementation, and production delivery.
• Exceptional communication and interpersonal skills, with the ability to communicate complex architecture and technology concepts clearly to technical teams, business leaders, and executives.
• Demonstrated ability to operate effectively in ambiguous environments and establish structure and technical direction where requirements are not fully defined.
• Knowledge of enterprise identity and security standards including SSO, SAML, OAuth/OIDC, role‑based access controls, audit logging, data protection, and compliance controls.
• Experience managing or providing technical direction to offshore development teams is strongly preferred.

Your journey at A&M

We recognizethatour people are the driving force behind our success, which is why weprioritizeanemployee experience thatfosterseachperson’sunique professional and personal development. Our robustperformancedevelopment processpromotescontinuous learning,rewards your contributions, and fosters a culture of meritocracy.With top-notch training andon-the-joblearning opportunities, you can acquire new skills and advance your career.

We prioritize your well‑being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a401(k) retirementsavings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their401(k) retirementsavings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy‑two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.

Thesalaryrange is $195,000- $230,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based ona number offactors, including individual and firm performance.