Enterprise AI Architect
Tasks
- Benchmark AI vendors and platforms
- Build model governance framework
- Contribute to enterprise architecture practice standards
- Create technology radars and assessments
- Define data privacy patterns
- Define data security patterns
- Define enterprise AI architecture
- Design AI reference architectures
- Ensure Data Lineage
- Ensure regulatory compliance
- Establish explainability standards
- Evaluate and pilot AI proof of concept
- Handle PII for AI workloads
- Implement prompt injection defenses
- Lead architecture review board evaluations
- Maintain AI architecture standards
- Manage AI model risk
- Mentor architects and engineers on AI patterns
- Monitor AI bias
- Partner with legal and compliance on AI risk
- Produce architecture decision records
- Represent organization in AI forums
- Scan frontier AI developments
- Translate business strategy into AI roadmaps
Perks/Benefits
- Family care resources
- Health and wellness benefits
- Hybrid work schedule
- Online therapy
- Paid time off
- Retirement plan
- Volunteering days
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Amazon Bedrock | Artificial Intelligence | Bias monitoring | Cloud Computing | Cloud Native | Cloud Native Architecture | Data Governance | Data Lineage | Data Pipelines | Embedding pipelines | Explainability | Fine Tuning | LLM APIs | Language Models | Large Language Models | Machine Learning | Model Context Protocol | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Orchestration | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Retrieval-Augmented Generation | Risk Management | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Architect | Architect | Enterprise AI | Enterprise AI Architect | Enterprise Architect
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