AI Solutions Architect

The AI Solutions Architect is a leadership role integrating strategic technology planning, solution architecture, and enterprise architecture across all areas of the business. This role is responsible for creating the overall technical vision and architecture for enterprise AI solutions that address business needs and support the organization’s broader technology strategy.

The AI Solutions Architect designs, describes, and governs the enterprise architecture that enables AI products developed and delivered by the AI engineering and product teams. The role focuses on API integration design, data architecture, large language model deployment patterns, conversational AI platform integration, security, scalability, reliability, and observability.

Working closely with the AI team, Enterprise Architecture, Infrastructure Architecture, Data, Cybersecurity, product leaders, and business stakeholders, this position ensures that AI solutions integrate effectively with the enterprise technology ecosystem and align with established architectural standards, data strategies, security policies, and technology roadmaps.

Responsibilities:

• Create the overall technical vision and architecture for enterprise AI solutions that address business needs.
• Create and maintain documentation of the AI technology ecosystem, architecture, integrations, data flows, and platform dependencies.
• Define scalable and secure architecture patterns for generative AI, large language models, machine learning, conversational AI, and related enterprise services.
• Design API and integration architectures connecting AI products with enterprise applications, data platforms, third-party services, and legacy systems.
• Define data architecture requirements for AI solutions, including data access, movement, quality, lineage, privacy, and governance.
• Establish architectural patterns for large language model deployment, model services, retrieval-augmented generation, grounding, inference, and prompt management.
• Provide architectural guidance for integrating conversational AI platforms with digital channels, voice platforms, contact center technologies, enterprise systems, and customer data.
• Collaborate with AI product and engineering teams, Enterprise Architecture, Infrastructure, Data, and Cybersecurity to translate business and product requirements into scalable technical solutions.
• Provide architecture oversight for multiple concurrent AI initiatives and ensure alignment with enterprise technology standards, security policies, and strategic roadmaps.
• Evaluate and recommend AI platforms, model services, integration technologies, data services, and reusable enterprise capabilities.
• Research emerging AI technologies and recommend long-range architecture strategies and standards that support the Company’s business goals.

Essential Functions:

% of Time on Function

Create and maintain enterprise and solution architecture for AI products, platforms, and shared AI capabilities

30%

Design API integrations, data flows, service interactions, and architectural patterns connecting AI solutions to the enterprise ecosystem

25%

Partner with AI product, engineering, data, infrastructure, cybersecurity, and business teams to define requirements and provide architectural guidance

20%

Establish architecture standards, governance, documentation, security requirements, and non-functional requirements for enterprise AI solutions

15%

Evaluate emerging AI technologies, conversational AI platforms, model services, and reusable enterprise capabilities

10%

Total

100%

Job Requirements:

• Bachelor’s degree in Computer Science or a related discipline;
  Master’s degree preferred.
• Minimum of 12 years of experience in systems architecture, solution architecture, systems integration, software engineering, or an equivalent combination of education and work experience.
• Experience providing technology direction and architectural guidance for enterprise-wide solutions.
• Experience designing architectures for AI-powered applications, generative AI, machine learning, or conversational AI solutions.
• Familiarity with large language model deployment patterns, including managed model services, privately hosted models,…