Information Technology_USA - USA_Business Analyst
Real Soft, Inc.
Jacksonville, FL, USA
6/2/2026
Full time
Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/hr
MSP Owner: Shilpa Bajpai
Location: Houston TX or US Remote
Duration: 6 months
skill id: 10763983
Role: AI Business analyst with Prompt Engineering
Role Descriptions: 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| OktaSCIM| 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., Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED-/hr
MSP Owner: Shilpa Bajpai
Location: Houston TX or US Remote
Duration: 6 months
skill id: 10763983
Role: AI Business analyst with Prompt Engineering
Role Descriptions: 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| OktaSCIM| 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., Project Code :