Job SummaryThe AI Solutions Architect will support the development, documentation, and promotion of reusable AI architecture patterns across the organization. This role serves as a key liaison between project teams, architecture governance functions, and centers of excellence to ensure AI solutions are scalable, compliant, and aligned with enterprise standards. The ideal candidate possesses strong technical writing, communication, and architecture governance experience within financial services or similarly regulated industries.
Key Responsibilities- Identify, evaluate, and document AI architecture patterns for submission to the enterprise architecture repository.
- Drive the review and qualification process for AI-related architecture patterns and reusable solution designs.
- Educate project teams on AI technologies, solution options, benefits, risks, and implementation considerations.
- Collaborate with Centers of Excellence (Cloud, Data, Security, and other domains) to address gaps in AI solutions and governance.
- Participate in weekly coordination sessions with AI project teams to assess and qualify new requests.
- Create and maintain architecture artifacts, standards, and documentation for enterprise consumption.
- Present architecture recommendations and patterns to review boards and technical governance committees.
- Promote the adoption of approved AI architecture frameworks and best practices across the organization.
- Work with technical and non-technical stakeholders to gather requirements and communicate architectural decisions effectively.
Required Qualifications- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
- Minimum of 5 years of experience architecting reporting, trading, client-facing, or enterprise solutions within Financial Services or a similar regulated industry.
- Experience presenting architecture artifacts and solution designs to Architecture Review Boards or senior technical governance committees.
- Strong technical writing, documentation, and communication skills.
- Ability to translate complex technical concepts into clear, business-friendly documentation.
- Experience creating AI prompts, agent skills, or machine-readable instructions.
- Strong stakeholder management and cross-functional collaboration skills.
- Ability to manage priorities across multiple concurrent projects and initiatives.
Preferred Qualifications- Experience working with Large Language Model (LLM) providers and AI orchestration frameworks.
- Familiarity with enterprise AI governance, AI solution patterns, and responsible AI practices.
- Experience integrating third-party APIs and SaaS platforms in regulated environments.
- Knowledge of cloud-native and distributed technologies.
- Experience working with architecture repositories and reusable solution frameworks.
Certifications- AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, or equivalent cloud certification preferred.
- AI-related certifications are a plus
Top Skills- Enterprise Architecture & AI Solution Design
- Technical Writing, Documentation & Stakeholder Communication
- AI Prompts, Agent Skills & Architecture Governance
- Preferred Technologies
- Large Language Models (LLMs)
- AI Orchestration Frameworks
- Kubernetes
- MongoDB
- Apache Kafka
- Cloud Platforms (AWS, Azure, or GCP)
- Third-Party APIs & SaaS Integrations
