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For Companies At a Glance
- Tasks: Research AI tools, build custom workflows, and deliver engaging training sessions.
- Company: Join BrainLake, a pioneering company transforming finance with AI.
- Benefits: Flexible working arrangements, direct impact on projects, and growth opportunities.
- Other info: Work closely with founders and influence product development.
- Why this job: Be an early hire shaping the future of AI in finance.
- Qualifications: Curiosity about AI, strong communication skills, and self-direction.
The predicted salary is between 60000 - 80000 £ per year.
BrainLake transforms private alternative asset managers into AI native funds. We succeed by providing funds with tailored AI training programmes, a continuous learning platform and building custom workflows and agents for alternative asset professionals in private equity, credit, real estate, secondaries, fund of funds, and family offices.
Fund teams are already using AI, but most are only scraping the surface of what's possible: ad-hoc ChatGPT prompts, no structure, no measurement, no connection to their actual workflows. We entrench AI efficiency throughout their workflows through custom development and education. Our structured education includes hands-on training days, a learning platform with scored exercises and curated workflow libraries. We have a deep background in building agents for financial professionals and deep sector experience across Goldman Sachs, Credit Suisse, and Target Global. This is an early-stage hire. You will be building alongside the founders, not joining a machine that already runs.
The Role
- Research and test AI tools relevant to fund workflows: You will be constantly evaluating LLMs, agent frameworks, MCP integrations, and specialist tools and methodologies to maintain a practical knowledge base of what actually works for alternative asset professionals. You’ll help update the curriculum, the solutions library, and the platform content based on your findings.
- Build custom workflows and agents for client teams: You will design, build, and deliver AI workflows and agents tailored to client-specific processes. This is application-layer building using all the tools at your disposal to build the most efficient outcome for clients. You scope the work via short discovery sprints, prototype with the client team, deploy into their environment, and iterate based on real usage.
- Shape and deliver training: You help build and run the one-day AI Mastery Bootcamp (covering LLM fundamentals, prompting, finance-specific plugins, MCP connectors, agent building). You’ll also contribute to the ongoing platform courses and develop the extended programme.
What We Are Looking For
- You should be genuinely curious about AI tools and how they evolve week to week.
- A clear communicator who can present technical concepts to a room of investment professionals with mixed levels of technical understanding.
- Comfortable with ambiguity. Processes do not exist yet. You will help build them.
- Self-directed. You will report to the CEO, but you will not be managed hour by hour.
- Organised enough to manage multiple workstreams: research, content creation, client delivery, and community building.
You should have:
- Strong working knowledge of current AI tools: LLMs (Claude, ChatGPT, Gemini, Perplexity at minimum), prompting techniques, and a practical understanding of how they perform across different tasks.
- The ability to design and deliver training sessions.
- Enough comfort with frontier models to build agents, automate workflows, demo tools live, troubleshoot in real time, and guide non-technical users through setup and configuration.
Preferred but not required:
- Experience in finance, consulting, or alternative assets.
- Technical skills: Python, API integrations, Git.
- Experience at an early-stage company or in a role where you built something from scratch.
- An interest in community building, organising events (in-person and online), creating content, building a network.
What You Will Not Be Doing
- Building infrastructure or core platform code.
- Data science or ML research.
Working Arrangement
London-based. In-office is ideal, but we can be flexible. You will travel to client sites for training delivery (primarily UK, expanding to DACH, Benelux, and France).
Why This Might Be Interesting
You would be an early hire at a company building something mid-market funds are requesting en masse. The AI training and custom build market for alternative assets is wide open and growing. You would work directly with the founders from day one. Your fingerprints will be on the product, the curriculum, the client relationships, and the go-to-market approach.
AI Strategist in Slough employer: Brainlake
Contact Detail:
Brainlake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Strategist in Slough
✨Tip Number 1
Get to know the company inside out! Research BrainLake's mission, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for the interview by practising common questions and scenarios related to AI and finance. Think about how you can demonstrate your curiosity and problem-solving skills, as these are key for the role.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the position. Plus, it keeps you on their radar!
We think you need these skills to ace AI Strategist in Slough
Some tips for your application 🫡
Show Your Curiosity: We want to see your genuine interest in AI tools! Share examples of how you've explored or experimented with different AI technologies. This will show us that you're not just theoretically interested but actively engaged in the field.
Communicate Clearly: When writing your application, make sure to communicate your ideas clearly and concisely. Remember, you'll be presenting to investment professionals, so use straightforward language that showcases your ability to explain complex concepts simply.
Embrace Ambiguity: Highlight your comfort with ambiguity in your application. We’re looking for someone who can thrive in a dynamic environment where processes are still being built. Share experiences where you’ve navigated uncertainty successfully.
Tailor Your Application: Make sure to tailor your application specifically for this role. Mention relevant skills and experiences that align with the job description. And don’t forget, applying through our website is the best way to get noticed!
How to prepare for a job interview at Brainlake
✨Know Your AI Tools
Make sure you’re up to speed with the latest AI tools like LLMs, prompting techniques, and how they apply to finance. Be ready to discuss your hands-on experiences with these tools and how they can enhance workflows for alternative asset professionals.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to present ideas to investment professionals who may not have a technical background, so being clear and composed is key. Consider doing mock presentations to friends or family to build your confidence.
✨Embrace Ambiguity
Since this role involves building processes from scratch, show that you’re comfortable with uncertainty. Prepare examples of past experiences where you navigated unclear situations and how you took initiative to create structure.
✨Showcase Your Organisational Skills
Be ready to discuss how you manage multiple projects simultaneously. Share specific strategies you use to stay organised, whether it’s through tools, prioritisation methods, or time management techniques. This will demonstrate your ability to handle the diverse responsibilities of the role.