AI Engineering Specialist
Tasks
- Apply security privacy governance controls
- Build agents and copilots
- Create self serve templates and playbooks
- Deploy agents on Azure and AWS
- Enable non technical users
- Identify AI use cases
- Implement RAG with enterprise content
- Implement cloud-native security controls
- Orchestrate agents on AWS
- Prototype AI solutions with LLM APIs
- Scope AI solutions with metrics
- Set up evaluation and monitoring for agents
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee share purchase program
- Life insurance
- Medical insurance
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
AI Foundry | AI Search | AWS Fargate | AWS IAM | AWS Lambda | Agent Orchestration | Amazon Bedrock | Amazon Bedrock Knowledge Bases | Amazon ECS | Anthropic Claude | Azure AI | Azure AI Foundry | Azure AI Search | Azure Container | Azure Container Apps | Azure Functions | Azure Managed | Azure Managed Identities | Azure OpenAI | Bedrock Knowledge Bases | Container Apps | Copilot Studio | Cost controls | Evaluation Frameworks | Guardrails | Human-in-the-loop | Knowledge bases | LLM APIs | Language Models | Large Language Models | M365 Copilot | Managed Identities | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Teams | OpenSearch | Private Endpoints | Python | RAG | Retrieval-Augmented Generation | The Loop | VPC Endpoints
Education
N/A
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