Senior AI Platform Engineer
New York, New York, United States
USD 105K-160K (estimate) Senior-level Full Time
Tasks
- Automate provisioning and cost guardrails with infrastructure as code
- Build cost dashboards and anomaly alerting
- Coordinate with security risk compliance legal to review platform controls
- Design and maintain LLM pipelines and agentic workflows
- Document controls and maintain audit evidence
- Implement cloud-native solutions on AWS
- Lead AI platform enablement across enterprise AI tools
- Manage token budgets usage quotas and rate limits across providers
- Own end to end delivery of platform initiatives using Agile
- Provide user support on credit usage limits and quota management
- Translate compliance security requirements into technical controls
- Troubleshoot issues with skills agents MCP integrations and API usage
Perks/Benefits
Skills/Tech-stack
AWS Athena | AWS Bedrock | AWS EKS | AWS Fargate | AWS Glue | AWS Lambda | Agentic AI | Agile Scrum | Amazon Bedrock | Anthropic | Audit Logging | Automated Evaluation | Boto3 | Confluence | Content Filtering | DevSecOps | Docker | Gemini | Graph Databases | GraphRAG | Guardrails | IAM | Infrastructure as Code | Jira | Kanban | LLM gateways | Milvus | Neo4j | Neptune | NumPy | OpenAI | PGVector | Pandas | Playwright | Python | QuickSight | Quota Management | RAG | Ragas | Rate Limiting | SDLC | Selenium | Tableau | Terraform | Vector Databases | Vector Search | Weaviate | Zephyr | “as-code”
Education
N/A
Regions
Countries
States
Cities
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