AI Architect
USD 105K-189K Senior-level Full Time
Tasks
- Conduct architecture reviews risk assessments and proof of concept
- Define MLOps for model lifecycle management
- Design and implement AWS scalable architectures
- Design enterprise AI patterns
- Enforce cloud guardrails and cost optimization
- Enforce responsible AI practices
- Establish AI architecture standards
- Evaluate emerging AI technologies and adoption strategies
- Lead AI service evaluation and integration
- Lead application rationalization and modernization
- Lead microservices API and event driven systems design
- Maintain architecture documentation and technology roadmaps
- Provide technical mentorship and guidance
- Translate business requirements into architecture solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Glue | AWS Lambda | AWS Strands | AWS Strands Agents | AWS X-Ray | Agent to Agent | Amazon Athena | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Bedrock | Amazon CloudWatch | Amazon DynamoDB | Amazon ECS | Amazon EKS | Amazon Kendra | Amazon Redshift | Amazon S3 | Amazon SageMaker | Aurora PostgreSQL | CI/CD | DevSecOps | Docker | Event Driven | Event-driven architecture | FinOps | Infrastructure as Code | Langchain | Langgraph | Linux | Litellm | MLOps | MLflow | Microservices | Model Context Protocol | Observability | Open WebUI | Prompt engineering | Python | RESTful APIs | Retrieval-Augmented Generation | Scripting | Snowflake | Strands Agents | Terraform | Vector Databases | X-Ray | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
AI | AI Architect | Architect | Cloud Solutions Architect | Cloud) | Solutions Architect
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