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# Enterprise AI Solutions Architect

- **Company:** Alvarez & Marsal
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, DevOps, Distributed Systems, OAuth, OpenID, Security Assertion Markup Language (SAML), Single Sign-On, Software Engineering, Data Streaming, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Agentic-AI, Event Driven Architecture, AI Platforms, Kubernetes, Data Management, Front End Software Development, Software Version Control
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_B7B9C8843DD36BFCAA403B345EEA23CC

## About the Role

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.

## Description

Description 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 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. 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 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 production deployment.

Key Functions:

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