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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 firm transforming asset management with AI.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic startup culture with a chance to work closely with founders.
- Why this job: Be at the forefront of AI innovation and shape the future of finance.
- Qualifications: Curiosity about AI, strong communication skills, and self-directed work ethic.
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
Day to day, the job breaks down to three main components:
- 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. Prior examples include deal screening agents, IC memo drafting agents, portfolio KPI monitoring agents, and LP reporting workflows. You scope the work via short discovery sprints, prototype with the client team, deploy into their environment, and iterate based on real usage. The point is to operationalise what the client needs.
- 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. You are not just assembling slides. You are designing exercises that use real financial documents, building demo workflows, and writing the curriculum that makes fund professionals competent with AI tools.
What We Are Looking For
You should be genuinely curious about AI tools and how they evolve week to week. Not theoretically interested, you should be someone who tries things, breaks things, and forms first-hand opinions about what works. A clear communicator who can present technical concepts to a room of investment professionals with mixed levels of technical understanding. You do not need to be a polished conference speaker, but you do need to be credible and composed in front of senior fund professionals. 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. You identify what needs doing independently, and do it. 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. This could come from teaching, consulting, workshops, bootcamps, or similar - the format matters less than evidence you can hold a room.
AI Strategist employer: Brainlake
Contact Detail:
Brainlake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Strategist
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and finance sectors. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with AI tools and workflows. Whether it’s a project you’ve worked on or a case study, having something tangible to share can really set you apart from the crowd.
✨Tip Number 3
Don’t be shy about reaching out directly to companies you’re interested in, like BrainLake! A quick email expressing your enthusiasm and asking about potential opportunities can go a long way. We love seeing proactive candidates!
✨Tip Number 4
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms. Remember, you’ll be talking to investment professionals who may not be as tech-savvy, so clarity is key!
We think you need these skills to ace AI Strategist
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI tools shine through! We want to see that you're genuinely curious and have hands-on experience with the latest technologies. Share specific examples of how you've experimented with AI and what you've learned from it.
Tailor Your Application: Make sure to customise your application to fit the role of AI Strategist. Highlight your relevant skills and experiences that align with our needs, especially in building workflows and training. This shows us you understand what we're looking for and how you can contribute.
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward and to the point. Avoid jargon unless it's necessary, and make sure your ideas flow logically. Remember, we want to see how well you can present technical concepts to a diverse audience!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about BrainLake and what we do!
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 and prompting techniques. Be ready to discuss your hands-on experiences with these tools, as this role is all about practical knowledge. Show them you’re not just a theorist but someone who actively engages with AI technology.
✨Communicate Clearly
You’ll need to present complex technical concepts to investment professionals who may not be tech-savvy. Practice explaining your ideas in simple terms and be prepared to answer questions. Confidence and clarity will help you make a strong impression.
✨Embrace Ambiguity
This role involves building processes from scratch, so be ready to tackle uncertainty head-on. Share examples of how you’ve navigated ambiguous situations in the past and how you approached problem-solving. This will show your adaptability and self-direction.
✨Showcase Your Organisational Skills
With multiple workstreams to manage, demonstrate your ability to stay organised. Bring examples of how you’ve successfully juggled various projects or tasks in the past. Highlighting your organisational skills will reassure them that you can handle the demands of the role.