AI Business Analyst with Prompt Engineering
About NationMind LLC: 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 Business Analyst with Prompt Engineering to join our growing team. Role: AI Business Analyst with Prompt Engineering Location: Houston, TX or US Remote Duration: 6-12 Months
Job Description
We are seeking an AI Business Analyst with Prompt Engineering experience to support AI-driven business initiatives and enterprise AI operations.
Required Qualifications
Strong business analysis experience in AI, IT operations, automation, software delivery, digital transformation, enterprise support, platform enablement, or SaaS operations. Good understanding of GenAI tools and platforms such as ChatGPT Enterprise, Claude Enterprise, OpenAI API, enterprise AI workspaces, and model orchestration concepts. Experience with Slack-based support, Zendesk, Jira, Confluence, ServiceNow, or similar intake, workflow, and ticketing platforms. Understanding of AI agents, tool calling, prompt behavior, human-in-the-loop workflows, agent lifecycle management, and runtime orchestration concepts. Understanding of license management, user provisioning, Okta SCIM, access approvals, enterprise identity workflows, and access governance concepts. Ability to convert ambiguous business and AI operations needs into structured requirements, workflows, user stories, acceptance criteria, test cases, and operating procedures. Strong process mapping skills for workflows involving users, systems, approvals, exceptions, escalations, and operational support flows. Ability to work with technical teams on APIs, integrations, MCP tools, data sources, runtime behavior, and model configuration requirements. Experience working in Agile delivery teams with sprint planning, backlog grooming, demos, velocity tracking, and iterative delivery methodologies. Ability to write clear process documents, SOPs, runbooks, user guides, support playbooks, and structured operational documentation. Strong stakeholder management and communication skills across business users, product owners, engineering, security, governance, platform, and support teams. Working knowledge of AI governance concepts including data privacy, access control, retention, redaction, model usage policies, responsible AI, and enterprise governance requirements. Comfortable creating structured documentation for agent builds, testing, deployment, operational support, lifecycle management, and release processes.
Key Responsibilities
Gather, analyze, and document business requirements for AI and enterprise operations initiatives. Support AI platform operations, automation workflows, and digital transformation programs. Collaborate with cross-functional teams including business users, product owners, engineering, security, governance, and support teams. Define and document workflows, user stories, acceptance criteria, test cases, SOPs, runbooks, and operational procedures. Assist in AI agent lifecycle management, prompt engineering activities, workflow orchestration, testing, deployment, and operational support. Support integrations involving APIs, MCP tools, enterprise systems, and AI platforms. Ensure adherence to AI governance, data privacy, access control, and enterprise compliance requirements. Participate in Agile ceremonies including sprint planning, backlog grooming, demos, and delivery tracking. This is a remote position.