Job Description
Responsibilities
Plan workspace architectures; implement SSO/SCIM integration, role-based access controls (RBAC), and policy guardrails. Establish usage analytics, define custom GPT governance (actions, connectors, approval workflows), and create runbooks and SOPs. Design scalable patterns for Assistants with multi-tool orchestration, structured JSON outputs, function/tool calling, Files/Batch for bulk operations, and Moderations and Embeddings for retrieval workflows. Implement OpenAI-centric RAG pipelines (chunking, embeddings, indexing) with groundedness checks, prompt test suites, red-teaming, and defined cost/performance SLOs. Own end-to-end fine-tuning processes — dataset curation, training and evaluation, bias and quality checks, rollback/versioning, and telemetry for tuned models. Implement OpenAI Observability and OpenTelemetry for performance monitoring; add token/cost telemetry, retries/backoff, idempotency, and feature flags/canary deployments. Document runbooks, trouble...
Plan workspace architectures; implement SSO/SCIM integration, role-based access controls (RBAC), and policy guardrails. Establish usage analytics, define custom GPT governance (actions, connectors, approval workflows), and create runbooks and SOPs. Design scalable patterns for Assistants with multi-tool orchestration, structured JSON outputs, function/tool calling, Files/Batch for bulk operations, and Moderations and Embeddings for retrieval workflows. Implement OpenAI-centric RAG pipelines (chunking, embeddings, indexing) with groundedness checks, prompt test suites, red-teaming, and defined cost/performance SLOs. Own end-to-end fine-tuning processes — dataset curation, training and evaluation, bias and quality checks, rollback/versioning, and telemetry for tuned models. Implement OpenAI Observability and OpenTelemetry for performance monitoring; add token/cost telemetry, retries/backoff, idempotency, and feature flags/canary deployments. Document runbooks, trouble...
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