Ai Architect
USD 28K-28K (estimate) Senior-level Full Time
Tasks
- Architect defenses for AI attacks
- Architect end-to-end AI solutions
- Build model monitoring pipelines
- Create dashboards and alerting
- Define GenAI observability standards
- Define MLOps and AIOps practices
- Define enterprise AI architecture
- Define integration patterns for retail platforms
- Define prompt orchestration and tool calling patterns
- Define secure by design standards for AI
- Design retail AI systems
- Design reusable LLM deployment patterns
- Develop AI reference architectures
- Establish open source model governance
- Evaluate AI SaaS and cloud services
- Implement AI observability frameworks
- Implement data privacy controls
- Implement feedback loop infrastructure
- Lead AI red-teaming
- Lead open source AI framework selection
- Lead technology evaluation and delivery
- Mandate AI native productivity tooling
- Own AI security threat model
- Provide hands on guidance for production readiness
- Set GenAI and LLM usage standards
- Support build vs buy vs open source decisions
- Translate business needs into AI blueprints
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AI Security | AIOps | AWS SageMaker | Adversarial Attacks | Autogen | Azure ML | Batch data | Batch data pipelines | CCPA | CI/CD | CrewAI | Data Drift | Data Drift Detection | Data Pipelines | Data poisoning | Databricks | Drift Detection | Evidently AI | Feast | Feature Engineering | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | LLM Deployment | Lakehouse | Langchain | Langgraph | Llama.cpp | Llamaindex | MLOps | MLflow | Model Inference | Model Monitoring | Model Training | Model inversion | Ollama | OpenLLM | Prediction Monitoring | Prompt injection | PyTorch | Python | RAG | Ray | Scikit-learn | Secure LLM Deployment | Snowflake | Streaming Data | Streaming data pipelines | TensorFlow | Threat modeling | VLLM | Vector Search | Vertex AI | WhyLogs
Education
N/A
Regions
Countries
States
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