AI Architect
Tasks
- Conduct architecture reviews risk assessments and proof of concept initiatives
- Define and enforce cloud architecture standards patterns and guardrails
- Define and oversee MLOps practices for deployment monitoring and lifecycle management
- Define responsible AI practices and model risk management
- Design and implement scalable cloud architectures on AWS
- Design enterprise AI patterns including AI gateway and knowledge bases
- Develop and maintain architecture documentation and technology roadmaps
- Establish AI architecture standards and reference architectures
- Evaluate emerging AI technologies and recommend adoption strategies
- Lead application rationalization to modernize the application portfolio
- Lead evaluation selection and integration of AI ML services and frameworks
- Lead systems design including microservices API design and event driven architectures
- Provide technical mentorship and guidance to engineering teams
- Translate business requirements into technical architecture solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | AWS CDK | AWS XRay | Amazon Bedrock | Amazon CloudWatch | Amazon Kendra | Amazon Q | Amazon Q Business | Amazon SageMaker | Bias detection | CI/CD | CloudFormation | Data Privacy | Docker | ECS | EKS | Event Driven | Event-driven architecture | FinOps | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Linux | MLOps | MLflow | Microservices | Model Evaluation | Model Risk Management | Model risk | OpenAI API | PII handling | Prompt engineering | Python | Q Business | RAG | REST API | REST API design | Risk Management | Sagemaker Pipelines | Terraform | Token Management | Vector Databases | “as-code”
Roles
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