AI Solution Architect

Client

Our client is a leading technology and consulting organization focused on delivering cutting‑edge digital solutions, AI‑powered products, and enterprise‑scale transformation programs. They work with global partners to design, build, and operationalize innovative tools and platforms that accelerate business value.

Join a great company, not merely an individual project

Position overview

We are looking for an experienced AI Solution Architect to translate organizational AI strategy into a scalable, secure, and enterprise‑ready architecture. This role will work closely with leaders across engineering, data, security, and business units to design the foundational patterns, integrations, and standards that power the company’s AI ecosystem.You will define architectural blueprints for RAG systems, AI agents, and SaaS‑based AI capabilities while ensuring interoperability across major enterprise platforms such as M365, Salesforce, and the data stack.

Responsibilities

• Design the end‑to‑end architecture for the organization’s AI Center of Excellence (CoE), including core components, integration patterns, and deployment models.

• Define reference architectures and reusable patterns for RAG pipelines, AI agents, SaaS‑based AI solutions, and enterprise LLM integration.

• Ensure system interoperability across key enterprise platforms such as Microsoft 365, Salesforce, cloud environments, data platforms, and internal business systems.

• Align all AI architectural decisions to security, governance, and Responsible AI requirements, partnering closely with security and compliance teams.

• Collaborate with engineering, product, and data teams to ensure that architectural standards are understood, adopted, and implemented across the organization.

• Provide architectural oversight and guidance for pilot and production AI use cases.

Requirements

• Strong experience in enterprise AI architecture, including designing scalable and secure AI platforms.

• Expertise in LLM platforms and agent frameworks (e.g., OpenAI, Azure OpenAI, Anthropic, LangChain, Semantic Kernel, or similar).

• Solid hands‑on background with cloud technologies (Azure and/or AWS).

• Deep understanding of integrations, interoperability, and enterprise platform ecosystems.

• Excellent communication and stakeholder‑management skills, with the ability to simplify complex technical topics for diverse audiences.