What are the responsibilities and job description for the AI Architect Lead position at ChatGPT Jobs?
Job Description
AI Architect Lead
Location: Houston, TX or US Remote
Duration: 6 months
Experience Required: 10 years
Role Description
AI Architect Lead
Location: Houston, TX or US Remote
Duration: 6 months
Experience Required: 10 years
Role Description
- Strong experience in enterprise solution architecture, backend engineering, and distributed systems design.
- Expertise in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
- Strong experience designing APIs, integration platforms, event-driven architectures, and workflow orchestration systems.
- Hands-on experience with GenAI applications, AI agents, RAG workflows, tool-calling systems, and enterprise chatbot platforms.
- Strong understanding of LLM ecosystems including OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar AI platforms.
- Experience designing orchestration frameworks, agent runtimes, workflow engines, and stateful task execution systems.
- Strong understanding of prompt engineering, structured outputs, guardrails, function calling, and AI safety controls.
- Experience integrating enterprise collaboration and workflow platforms including Slack, Jira, Zendesk, ServiceNow, and Confluence.
- Strong understanding of enterprise identity and access management including Okta, SCIM, SSO, RBAC, ABAC, secrets management, and governance controls.
- Experience with observability platforms, OpenTelemetry, monitoring frameworks, logging, tracing, metrics, and operational dashboards.
- Strong knowledge of secure architecture practices, enterprise governance, data privacy, compliance, and operational reliability.
- Experience with CI/CD pipelines, DevOps practices, deployment automation, rollback strategies, and operational lifecycle management.
- Strong stakeholder management and leadership skills across architecture, engineering, AI Ops, governance, security, and business teams.
- AI & Automation
- AI Agents
- GenAI Applications
- RAG Workflows
- LLM Platforms (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
- Python, TypeScript, Node.js, Java, Go
- API & Integration Architecture
- Workflow Orchestration
- Prompt Engineering
- Enterprise Security & IAM
- DevOps / CI-CD
- Observability & Monitoring
- Leadership & Stakeholder Management