AI Specialist
Posted 17 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
About the Role
We are seeking an experienced and innovative AI Specialist to lead the adoption, implementation, and optimization of Artificial Intelligence across our organization. This role is ideal for someone who is passionate about leveraging AI to solve business problems, automate workflows, improve productivity, and introduce scalable AI solutions.
You will be responsible for identifying opportunities where AI can create value, designing AI-powered workflows, evaluating emerging AI technologies, and enabling teams to work smarter through automation and intelligent systems.
Key Responsibilities
AI Strategy & Innovation
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Identify opportunities to integrate AI into business operations.
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Research, evaluate, and recommend new AI tools and technologies.
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Stay up to date with the latest developments in Generative AI, LLMs, AI Agents, and automation platforms.
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Develop AI adoption strategies and implementation roadmaps.
AI Workflow Development
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Design, build, and optimize AI-powered workflows.
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Create intelligent automations that reduce manual effort.
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Develop AI agents for task execution and decision support.
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Integrate AI solutions into existing business systems using APIs and automation platforms.
Prompt Engineering
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Design and optimize prompts for different AI models.
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Develop reusable prompt libraries and AI playbooks.
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Improve AI response quality through testing and iteration.
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Implement prompt management best practices.
AI Tools & Automation
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Configure and maintain AI-powered automation platforms.
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Build workflows using tools such as Make, Zapier, n8n, or similar platforms.
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Connect AI services with CRMs, databases, cloud storage, communication platforms, and productivity tools.
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Troubleshoot and optimize AI automations.
AI Knowledge Management
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Build internal AI assistants trained on company documentation.
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Organize and structure knowledge bases for AI retrieval.
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Improve information accessibility using Retrieval-Augmented Generation (RAG) or similar techniques.