Senior AI Architect (w/m/x)
Tasks
- Define AI and GenAI end to end architecture
- Define MLOps monitoring observability versioning lifecycle management
- Define technical standards architecture governance design reviews
- Design scalable secure AI solution designs
- Drive AI engineering best practices reusable components platform delivery
- Ensure AI reliability explainability governance and security
- Identify AI opportunities with business stakeholders
- Industrialize AI use cases into enterprise products
- Lead AI development lifecycle to production
- Present solution proposals to senior stakeholders
- Provide technical leadership and mentor teams
- Review solution designs code models and deployment strategies
- Translate business requirements into technical roadmaps
Perks/Benefits
- Continuous learning environment
- Flexible work schedule
- Global career opportunities
- Hybrid work model
- Mentoring support
- Onboarding support
- Relocation assistance not provided
Skills/Tech-stack
API Integration | Agent systems | Agentic Workflows | Amazon Web Services | Azure | Cloud Architecture | Cloud platform | Cybersecurity | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Image-to-text | LLM orchestration | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Modularity | Multi-Agent | Multi-Agent Systems | Multimodal AI | Natural Language | Natural Language Processing | Observability | Prompt engineering | Resilience | Retrieval-Augmented Generation | Scalability | Solution architecture | Speech-to-Text | Video Understanding | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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