AI Intelligence Engineer

Introduction

Robosoft is embedding AI into how every business function operates and as a core part of how work gets done. To make that real, each function needs someone who helps drive the AI layer: the workflows, the context, the prompts, the templates, and the day-to-day adoption that turns AI tooling into operational capability.

The Intelligence Engineer is that person. You sit embedded within a business function (Sales/Bid Management or broader Business Functions such as HR, Legal, and Finance) and drive how AI is designed, documented, deployed, and used within that function. You are the AI authority to support your function, responsible for ensuring that AI workflows are structured, documented, adopted, and continuously improved.

This role sits at the intersection of business operations and AI tooling. You are a business-facing lead who understands the function deeply, designs how AI fits into its processes, documents those process flows, and ensures the team is equipped to work with AI effectively. Where technical builds are required, you work with the AI Solutions Engineer to translate your requirements into engineered solutions.

Responsibilities

1. AI Workflow Design, Ownership, and Process Documentation

• Structure how AI engages with work within your function, from intake through to output
• Design, create, and maintain shared AI configurations: context layers, prompts, templates, commands, and skills that the team uses day to day
• Document the end-to-end AI process flows for your function, creating a clear, visible map of how AI operates within each key workflow
• Maintain and evolve these process flow documents as workflows mature, ensuring they remain accurate and referenceable
• Own the function's AI workflow library, ensuring all configurations are versioned, documented, and discoverable

2. Function-Level Embedding and Adoption

• Work alongside your function on a day-to-day basis, becoming deeply familiar with how the team operates
• Identify where AI can remove friction, improve output quality, or accelerate delivery within the function
• Be the AI process owner within your function, the person the team turns to for guidance on how to use AI effectively
• Translate functional knowledge into AI-friendly structures: turning tacit knowledge, processes, and expertise into reusable AI assets

3. Content and Context Management

• Ingest artifacts (meeting transcripts, documents, notes, templates) into structured, reusable context that AI tools can leverage
• Maintain the function's master context, ensuring it stays current as the business evolves
• Extract and contextualise engagement-specific information, for example extracting requirements from a new sales opportunity and publishing them as discoverable commands for the team
• Build and maintain the function's prompt and template library as a living, growing resource

4. Opportunity Identification and Requirements

• Stay close to day-to-day operations to spot where AI could make a meaningful difference
• Prioritise opportunities based on impact, feasibility, and alignment with function goals
• Define requirements for technical builds and work with the AI Solutions Engineer to deliver them
• Feed functional requirements and use cases into the broader AI capability roadmap

5. Training and Enablement

• Guide colleagues on how to engage with AI workflows, running training sessions and providing hands-on support
• Surface patterns and learnings across the function, sharing what works and what does not
• Document processes and best practices so they can be scaled across the function and potentially to other functions
• Run AI enablement sessions as part of the broader organisational AI programme

Requirements

• 4 to 10 years of experience in a business-facing role: AI operations, project coordination, business analysis, consulting, or similar
• Demonstrable experience working with AI tools in a structured, applied way, not just casual use, but designing workflows and processes around them
• Experience designing or documenting processes, workflows, or standard operating procedures
• Strong written communication skills, particularly the ability to create clear, usable documentation

Core Skills

• Hands-on experience with AI platforms (Claude, ChatGPT, Microsoft Copilot)
• Ability to configure prompts, commands, context structures, and skills within an AI toolset
• Comfort working within cloud-based collaboration and project environments (M365, SharePoint, Teams)
• Familiarity with prompt engineering and AI workflow design principles

Good to Have Skills

• Experience with process mapping or documentation tools
• Understanding of how low-code/no-code automations work, even if not building them directly
• Familiarity with how AI tools integrate with business systems