AI Solutions Architect
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Key skills for this role
About the Role
Jodayn seeks an experienced AI Solutions Architect to lead the architecture, integration, and enterprise deployment design of AI-powered platforms. The role requires translating business requirements into scalable, secure, and enterprise-ready AI solution architectures.
Key Skills for This Role
Responsibilities
- Design scalable AI solution architectures for enterprise and government environments
- Define deployment models for cloud, hybrid, and on premise implementations
- Establish AI platform reference architectures and technical standards
- Define integration and interoperability approaches
- Translate business and operational requirements into technical AI solutions
- Produce architecture diagrams, solution blueprints, and technical documentation
- Support technical workshops and enterprise discovery sessions
- Define non functional requirements and operational considerations
- Design secure enterprise integration approaches
- Define identity and access management integration patterns
- Support API and middleware integration requirements
- Ensure alignment with enterprise governance and security standards
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field
- Minimum 8 years experience in enterprise architecture or solution architecture
- Experience designing enterprise technology solutions
- Experience with AI or intelligent automation initiatives preferred
- Experience in enterprise consulting or regulated environments preferred
- Enterprise architecture certifications preferred
Full Job Posting
Role Overview
- Jodayn is seeking an experienced AI Solutions Architect to lead the architecture, integration, and enterprise deployment design of AI powered platforms and intelligent automation solutions.
Enterprise AI Architecture
- Design scalable AI solution architectures for enterprise and government environments.
- Define deployment models for cloud, hybrid, and on premise implementations.
- Establish AI platform reference architectures and technical standards.
- Define integration and interoperability approaches.
Solution Design & Technical Leadership
- Translate business and operational requirements into technical AI solutions.
- Produce architecture diagrams, solution blueprints, and technical documentation.
- Support technical workshops and enterprise discovery sessions.
- Define non functional requirements and operational considerations.
Integration & Security
- Design secure enterprise integration approaches.
- Define identity and access management integration patterns.
- Support API and middleware integration requirements.
- Ensure alignment with enterprise governance and security standards.
Deployment & Operational Readiness
- Support infrastructure sizing and deployment planning.
- Define monitoring, observability, and resilience approaches.
- Support operational scalability and continuity planning.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field.
- Enterprise architecture certifications preferred.
- Minimum 8 years experience in enterprise architecture or solution architecture.
- Experience designing enterprise technology solutions.
- Experience with AI or intelligent automation initiatives preferred.
- Experience in enterprise consulting or regulated environments preferred.
Required Technical Skills
- Architecture & Integration: Enterprise architecture, Integration architecture, API and middleware integration, Cloud architecture, Hybrid deployment models.
- AI Technologies: AI solution architecture, LLM integration concepts, AI orchestration frameworks, Vector database concepts, AI deployment patterns.
- Security & Governance: Identity and access management concepts, Security architecture principles, Enterprise governance concepts, Operational resilience and scalability.
Preferred Skills
- TOGAF or equivalent architecture framework exposure.
- Experience supporting enterprise digital transformation initiatives.
- Experience with government or regulated sector projects.
- Familiarity with enterprise AI governance concepts.
Core Competencies
- Strong enterprise and strategic thinking.
- Excellent stakeholder communication skills.
- Strong solution design capability.
- Governance and risk awareness.
- High quality documentation and presentation capability.
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