AMSYS Innovative Solutions, LLC

Business Analyst – AI/Automation

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst – AI/Automation, offering a contract length of "unknown" and a pay rate of "unknown." It requires 4+ years in enterprise IT, hands-on AI experience, and familiarity with Azure and LLM platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Data Pipeline #Data Governance #Business Analysis #Documentation #Security #Stories #Azure #Requirements Gathering #Compliance #UAT (User Acceptance Testing) #Scrum #Agile #Automation
Role description
Summary: Looking for a Business Analyst with hands-on exposure to AI/GenAI. This role will support the delivery of AI solutions while aligning with enterprise governance, security, and compliance standards. Must have hands-on experience and be actively using AI in day-to-day work. Must be comfortable working across OpenAI, Claude, and other LLM platforms. Key Responsibilities: Gather and document business and functional requirements for AI use cases Translate requirements into AI workflows (RAG, automation, agent-based solutions) Work with engineering on Azure OpenAI, APIs, data pipelines, and integrations Create user stories, process flows, and acceptance criteria Support UAT, validation, and production rollout Ensure data governance, security, and compliance (PII, auditability) Assist in evaluating LLMs (OpenAI, Claude, etc.) based on use case Required 4+ years as a Business Analyst in enterprise IT environments Strong requirements gathering, documentation, and stakeholder management Hands-on use of AI tools / LLMs in real work scenarios Experience with Azure ecosystem (Azure OpenAI, APIs, data workflows) Agile / Scrum experience Ability to work with technical teams (APIs, integrations, data flows) Understanding of enterprise data governance and security Nice to Have: Experience with AI/ML or GenAI projects Exposure to RAG, prompt engineering, or AI workflows Background in regulated environments Familiarity with multiple LLMs (OpenAI, Claude, etc.)