Gen AI Architect
Tasks
- Define reusable architecture patterns for LLM workflows
- Design agentic AI systems with tool use and workflow orchestration
- Enable LLMOps and AgenticOps prompt lifecycle model observability and evaluation
- Ensure governance auditability data privacy and compliance
- Implement observability for prompts model responses retrieval and agent execution
- Integrate generative AI into enterprise applications APIs and data ecosystems
- Lead architecture design and delivery of generative AI solutions
- Produce solution documentation and deployment approaches
- Translate business problems into secure scalable production AI systems
Perks/Benefits
- Access to online course library
- Health and wellbeing programs
- Hybrid work
- Learning and development opportunities
- Mental health support apps
- Training hackathons and thinktanks
Skills/Tech-stack
AI Governance | API Gateway | API Integration | AWS IAM | AWS KMS | AWS Lambda | AWS Step Functions | Access Management | Agentic Workflows | AgenticOps | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon S3 | Amazon SageMaker | Auditability | Caching | Data Privacy | Encryption | Fine Tuning | Identity and Access Management | Identity and access | LLMOps | Latency optimization | Model Evaluation | Model Orchestration | Observability | OpenSearch | Prompt engineering | Prompt orchestration) | Python | RAG | Regulatory Compliance | Retrieval-Augmented Generation | Scalability | Security Architecture | Step Functions | Throughput Optimization | Vector Database
Education
N/A
Roles
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