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, troubleshooting guides, and SOPs for production support.
• Design across Azure, AWS, or GCP, applying Managed Identities, Secret Management, and Private Link/private endpoints to meet enterprise controls.
• Utilize OpenAI Agent SDK, LangChain / LangGraph, or Semantic Kernel pragmatically; integrate Azure Cognitive Search, Redis/pgvector, or managed vector services.
• Integrate with Copilot Studio and Microsoft Graph; embed assistants into Teams, SharePoint, or line-of-business applications where appropriate.
• Enforce modern delivery practices with CI/CD pipelines (GitHub Actions, Azure DevOps) and IaC (Terraform, Bicep).
• Support multi-region rollout strategies and environment automation.
Requirements
• Graduate in Diploma and specialized in Information Technology/Computer Science/Engineering/Mathematics or relevant.
• Minimum 7 years in software or solution architecture, with strong programming skills in Python and at least one of Java or TypeScript.
• Proven track record delivering OpenAI / Azure OpenAI projects (Assistants, RAG, evaluation/safety, observability).
• Hands-on experience in enterprise solution deployment (authentication, policies, cost management).
• Proficiency in CI/CD and IaC practices.
• Strong customer-facing communication and stakeholder management skills.
• ChatGPT Enterprise administration (SSO, SCIM, RBAC), custom GPT governance, and usage analytics.
• Fine-tuning expertise, including dataset QA, training/evaluation pipelines, and regression testing.
• Experience with RAG stacks (Azure Cognitive Search, Redis, pgvector), OpenAI Agent SDK, LangChain, LangGraph, or Semantic Kernel.
• Familiarity with OpenAI Observability and OpenTelemetry.
• Professional-level cloud certifications (Azure, AWS, or GCP).
