Gen AI Architect
Tasks
- Create solution documentation and deployment approaches
- Define reusable architecture patterns
- Design Agentic AI systems
- Enable LLMOps and agentic operations capabilities
- Ensure governance auditability data privacy and regulatory compliance
- Evaluate foundation models and embedding models
- Implement observability for prompts model responses and agent execution
- Integrate generative AI capabilities into enterprise applications
- Lead architecture and implementation of generative AI applications
- Optimize inference cost latency throughput and scalability
- Provide technical leadership and mentorship
Perks/Benefits
- Hybrid working
- Learning and development opportunities
- Mental health support
- Training courses and certifications
- Wellbeing apps
Skills/Tech-stack
AI Deployment | API Gateway | AWS KMS | AWS Step Functions | Agentic Memory | Agentic Memory Management | Agentic Workflows | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon OpenSearch | Amazon S3 | Amazon SageMaker | Auditability | Data Governance | Data Privacy | Distributed Systems | Encryption | Enterprise Security | Enterprise Security Architecture | Enterprise compliance | Event Driven | Event-driven architecture | Fine Tuning | IAM | LLMOps | Lambda | Memory Management | Model Evaluation | Prompt orchestration) | Python | RAG | Retrieval Pipelines | Retrieval-Augmented Generation | Secure AI | Secure AI deployment | Secure Retrieval | Secure Retrieval Pipelines | Security Architecture | Step Functions | Vector Databases
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | GenAI Architect | Solutions Architect
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