[Remote] AI Business Analyst with Prompt Engineering

Note: The job is a remote job and is open to candidates in USA. NationMind LLC is a technology consulting firm focused on software development and QA testing services. They are seeking an AI Business Analyst with Prompt Engineering experience to support AI-driven business initiatives and enterprise AI operations.

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

Skills

• 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

Company Overview