Compass Beam Capital Hiring! Full Time Artificial Intelligence Engineer in Federal Territory - Ricebowl

Who We Are

Compass Beam Capital (CBC) is a Private Equity Management Company licensed by Securities Commission Malaysia (Reg. No: VCPE/0126/2025). We build long-term, resilient investment structures across digital assets, equities, and other emerging opportunities. At CBC, we care about understanding things for what they are, and not what they appear to be. We know we won’t always make the right decisions, but we put in the effort to make our decisions right.

AI Transformation Lead

We're hiring an AI Transformation Lead to drive AI adoption across our group of companies. A private equity entity, an asset management firm, an AI consultancy, and a creative agency. This is a new role at the group level, reporting directly to the CEO.

You will be the person who looks at how our businesses run today, finds where AI changes the economics, and makes those changes happen. Sometimes that means a new tool inside an existing workflow. Sometimes it means a new service line. Sometimes it means rethinking how an entity operates entirely.

The CEO believes AI is genuinely transformative but doesn't have the time or technical depth to run the experiments himself. Your job is to do that work, bring back proposals with evidence, and once approved drive implementation. You will be working across four very different business cultures: financial services that move slowly and care about regulators, an AI consultancy that speaks the language fluently, and a creative agency that values craft. You need to operate credibly in all of them.

What you'll do

This is a continuous loop, not a project with an end date.

Audit. Map how each entity actually operates today : workflows, costs, bottlenecks, where time goes. You can't transform what you don't understand.

Propose. Build a prioritised list of changes worth making. Each proposal should weigh implementation cost, risk, time to value, technical difficulty, and the assumptions you're relying on. The CEO doesn't want a wish list : he wants a ranked list with the trade-offs visible.

Implement. Once approved, ship it. Build it yourself, contract a third party, or work with vendors whichever is right for the situation. Then train the staff who'll use it and drive actual adoption. A tool nobody uses is worse than no tool at all. When new tech becomes relevant to a team, you run the quick class or tutorial that gets them productive on it fast, adoption is part of the job, not someone else's problem.

Curate the market. Build and maintain a network of vendors, agencies, and freelancers we can call on. Stay close to vendor roadmaps so we know what's coming, not just what shipped last quarter.

Stay alert to the regulatory environment, especially for the asset management arm.

Keep an experimentation log: What was tried, what was learnt, what was killed, what was scaled.

Who you are

• You've spent real time with modern AI tools. Not just ChatGPT, but the broader landscape (Claude, agentic frameworks, automation platforms, vertical AI). You can tell the difference between a useful tool and a demo
• You can read a business process, see what's wasteful or slow, and have a strong instinct for what AI will and won't fix
• You write clearly. You can take a complex experiment and explain it to a non-technical CEO in five minutes with the right detail
• You can also teach. When you find a tool the team should use, you can stand up a 30-minute session that gets them productive, not a deck they'll forget
• You kill your own ideas when the evidence says to. You don't get attached
• You are genuinely a self-starter, you don't need weekly check-ins to make progress, and you bring the CEO finished proposals, not half-formed problems
• You can hold your own with people more senior or more technical than you. You push back when you think the CEO is wrong, and you change your mind when you're shown to be wrong
• You can move between rooms, a regulatory discussion in the morning, a creative brief in the afternoon without changing who you are.

What we expect you'll bring

• 5+ years of work experience, with at least 2 years in a role where you owned outcomes, not just tasks
• Demonstrated history of independent initiative, projects you started without being asked, problems you solved without a brief.
• Strong working knowledge of the current AI tool landscape, including hands-on use of LLMs, agentic systems, and at least some scripting or automation capability (Python, n8n, Zapier, or similar, you don't need to be an engineer)
• Good business judgement: you can read a P&L, understand unit economics, and reason about ROI rather than novelty.
• Comfort working across very different industries finance, asset management, marketing, AI services.
• Clear written and spoken English

Bonus:

• Experience working in or with regulated financial services
• A track record of building and shipping things — side projects, GitHub activity, technical writing, talks given
• Prior experience driving change inside an organisation (not just consulting on it from outside)
• Background in management consulting, product, or operator roles.

What this role is not

• Not a Chief AI Officer title in disguise: This is a hands-on builder/proposer role, not a board-level advisory one.
• Not a research role: You are paid to find what creates business value now, not to track frontier benchmarks
• Not a safe corporate seat: you will be expected to ship changes, defend them, and own results

We value people who are curious, disciplined, and open to learning. We care about doing things properly, even when it takes time.Our companies follow the same principle - practical, thoughtful, and built for people who appreciate steady, honest work.