Remote Position
AI Business Analyst with Prompt Engineering
🌍 Remote · United States
💼 Full-time
About the position NationMind LLC is seeking an AI Business Analyst with Prompt Engineering experience to support AI-driven business initiatives and enterprise AI operations. This role involves gathering and analyzing business requirements, supporting AI platform operations, collaborating with cross-functional teams, and ensuring adherence to AI governance and compliance requirements.
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.
Requirements
- 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.
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