AI Engineer / AI Architect
Tasks
- Build model training evaluation and deployment workflows
- Communicate technical strategy to non technical audiences
- Conduct technical architectural tradeoffs
- Create Architecture Decision Records
- Define AI system architecture
- Define evaluation metrics validation and rollout strategies
- Design data ingestion feature engineering and model serving
- Design end to end AI pipelines and agentic orchestration frameworks
- Design modular extensible AI platforms
- Ensure AI reliability observability and performance
- Establish LLMOps CI CD and prompt versioning
- Implement real time model observability
- Implement retrieval augmented generation optimization
- Improve iteration velocity through automation
- Lead code reviews and enforce engineering standards
- Lead machine learning system design and implementation
- Mentor AI engineers
- Operationalize prototypes into production systems
- Optimize distributed inference systems
- Partner with product and engineering on AI roadmaps
- Translate AI opportunities into technical approaches
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | CI/CD | Cloud Architecture | Data Ingestion | Distributed Systems | Feature Engineering | Inference Optimization | Infrastructure as Code | MLOps | Machine Learning | Model Evaluation | Model Serving | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | “as-code”
Education
N/A
Roles
AI | AI Architect | AI Engineer | Architect | Engineer
Regions
Countries
States
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