AI Architect Lead

NATIONMIND LLC

6d•$45 - $50•Remote

About The Position

NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Architect Lead to join our growing team.

Requirements

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.
10+ years of experience.

Responsibilities

Design and govern enterprise-scale AI agent and GenAI platforms.
Develop and implement enterprise solution architecture, backend engineering, and distributed systems design.
Design APIs, integration platforms, event-driven architectures, and workflow orchestration systems.
Build and deploy GenAI applications, AI agents, RAG workflows, tool-calling systems, and enterprise chatbot platforms.
Integrate with LLM ecosystems including OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar AI platforms.
Design orchestration frameworks, agent runtimes, workflow engines, and stateful task execution systems.
Implement prompt engineering, structured outputs, guardrails, function calling, and AI safety controls.
Integrate enterprise collaboration and workflow platforms including Slack, Jira, Zendesk, ServiceNow, and Confluence.
Implement enterprise identity and access management including Okta, SCIM, SSO, RBAC, ABAC, secrets management, and governance controls.
Implement observability platforms, OpenTelemetry, monitoring frameworks, logging, tracing, metrics, and operational dashboards.
Ensure secure architecture practices, enterprise governance, data privacy, compliance, and operational reliability.
Manage CI/CD pipelines, DevOps practices, deployment automation, rollback strategies, and operational lifecycle management.
Manage stakeholders across architecture, engineering, AI Ops, governance, security, and business teams.