AI Solutions Architect
Tasks
- Apply responsible AI principles
- Automate code review
- Automate testing
- Balance innovation with operational stability
- Contribute to AI technology roadmap
- Define AI reference architecture
- Deploy reusable AI components across businesses
- Design secure scalable AI architectures
- Develop AI Center of Excellence assets
- Develop reference implementations
- Embed AI coding agents in workflows
- Establish model evaluation and testing standards
- Evaluate AI platforms and recommend solutions
- Implement AI observability
- Implement performance monitoring
- Integrate security and privacy governance
- Lead architecture reviews
- Lead proof of concept initiatives
- Manage model versioning
- Mentor engineering and AI teams
- Set AI architectural principles and standards
- Translate business problems into AI solutions
Perks/Benefits
- Autonomy and influence
- Collaborative work environment
- Entrepreneurial environment
- Flexible remote work
- Professional learning and development
Skills/Tech-stack
AI Governance | AI Observability | AI Security | AI orchestration | API first | API-first architecture | AWS | Azure | Cloud Architecture | Enterprise Integration | Generative AI | Google Cloud | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Software Architecture | Software Engineering | Vector Databases
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Enterprise Architect | Solutions Architect
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