At a Glance
- Tasks: Transform real-world problems into AI-driven solutions while collaborating with business teams.
- Company: Join a forward-thinking company dedicated to embedding AI in everyday operations.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on innovative problem-solving and continuous learning.
- Why this job: Make a tangible impact by integrating AI into real business processes and workflows.
- Qualifications: Degree in computer science or relevant experience in software development and analysis.
The predicted salary is between 50000 - 70000 £ per year.
Purpose: Embed engineering capability directly into the business to turn real‑world problems into working solutions. The Forward Deployed AI Associate works at the intersection of software development, product thinking, and analysis, where technology meets real operational need. This role exists to frame problems, test assumptions, and shape solutions that balance user value, technical feasibility, and delivery risk, closing the gap between what we design and what actually works in production in a regulated, high‑trust environment. You will write production code, work alongside business stakeholders, help decide what should be built and why, and stay with the problem until the solution is live, working, and supportable. This role exists to make AI a practical, default part of how work is done at 7IM, not an occasional experiment or specialist capability. Forward Deployed AI Associates accelerate AI adoption by embedding directly into teams, working on real deliverables, and helping colleagues redesign workflows with AI safely and effectively. The goal is durable change in how work happens, not one‑off tools or proofs of concept.
Responsibilities:
- Embed with business teams, squads, or initiatives to deeply understand goals, workflows, constraints, assumptions, and failure modes
- Identify high‑leverage opportunities where AI can materially improve speed, quality, or decision‑making
- Build AI‑assisted tools, workflows, automations, or agents that operate inside real business processes
- Partner with business and product stakeholders to clarify outcomes, success measures, constraints, and trade‑offs before and during delivery
- Analyse workflows, data, and edge cases to identify root causes, not just symptoms, and use this analysis to inform solution design
- Translate ambiguous business problems into concrete technical designs and executable delivery plans
- Lead rapid prototyping and iteration to test assumptions early, reduce risk, and converge on workable solutions
- Design, build, and deploy production‑grade solutions in live environments, not just prototypes or proofs of concept
- Ensure solutions meet 7IM engineering, architecture, security, and regulatory standards
- Build bespoke integrations, automations, or platform extensions where standard solutions fall short
- Own solutions end‑to‑end, from discovery and design through build, release, and early‑life support
- Troubleshoot live issues in production, including data, integration, security, performance, and operational behaviour
- Work closely with Product, Architecture, Information Security, Risk, and Operations to land safe and usable outcomes
- Avoid one‑off or fragile solutions by shaping work toward repeatable patterns and scalable capability
- Feed learnings back into core platforms, patterns, documentation, and ways of working so value compounds over time
- Act consistently in accordance with 7IM values, principles, and behaviours
- Carry out other duties as reasonably required by your line manager and 7IM
Other relevant information:
- You will sit within the Transformation team but are deployed into the business to work on real, current problems
- You will work alongside other Forward Deployed AI Associates, sharing patterns, learnings, and approaches
- You will operate from a clear personal backlog rather than responding to ad‑hoc demand
- You are comfortable being close to the problem, not shielded from it
- You value outcomes over elegance, but never at the expense of safety or quality
- You can switch between deep technical focus and business‑facing discussion without losing credibility
- Reporting to the Head of Development or a senior engineering leader, depending on assignment
About You
Qualifications:
- Computer science degree, or experience with software development, technical business analysis, or design
Skills:
- Strong AI fluency and judgement in a software delivery context. You apply AI‑assisted and agentic tooling as part of normal delivery while sitting within the Transformation team, being deployed into the business, collaborating closely with fellow Forward Deployed AI Associates, and owning a clearly prioritised personal backlog. You are explicit about where AI improves outcomes, where it introduces risk, and where human judgement and accountability must dominate.
- Strong software engineering fundamentals with experience building and supporting production systems
- Ability to reason clearly about problem scope, value, and trade‑offs, not just technical implementation
- Experience designing and integrating APIs, services, workflows, and data pipelines
- Comfort working across a modern Microsoft‑based stack
- Strong debugging and problem‑solving skills in live production environments
- Understanding of observability, logging, telemetry, and operational readiness
- Awareness of secure coding practices and regulatory expectations in financial services
- Ability to explain how AI has been used in a solution, what checks were applied, and what risks were considered
- Excellent stakeholder engagement skills with the ability to explain technical trade‑offs to non‑technical colleagues
- Familiarity with Agile and iterative delivery practices
Applied AI Delivery:
- Demonstrated experience using AI to materially change how work is done, not just assist with tasks
- Comfortable designing, building, and operating AI‑assisted workflows that touch live data and processes
- Strong judgement around where AI adds value and where it increases risk
- Ability to explain how AI is used, what controls exist, and where human oversight is required
- Experience moving non‑technical colleagues from curiosity to confident usage
- Pattern‑driven mindset: solutions are designed to scale beyond a single individual or use case
Forward Deployed AI Associate in London employer: Seven Investment Management
At 7IM, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Forward Deployed AI Associate, you will have the unique opportunity to embed directly within business teams, driving meaningful change through AI while enjoying robust professional development opportunities and a supportive environment that values your contributions. Our commitment to employee growth, coupled with our focus on delivering practical solutions in a regulated, high-trust setting, makes 7IM an ideal place for those seeking a rewarding career in technology and finance.
Contact Details:
Seven Investment Management Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Associate in London
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This way, when you chat with them, you can show that you're not just another candidate but someone who genuinely gets what they're about.
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. Building connections can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those interviews by practising common questions and scenarios related to AI and software development. Think about how you can demonstrate your problem-solving skills and technical knowledge in real-world situations.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at 7IM.
We think you need these skills to ace Forward Deployed AI Associate in London
Some tips for your application 🫡
Show Your Problem-Solving Skills:When writing your application, make sure to highlight how you've tackled real-world problems in the past. We want to see your thought process and how you approach challenges, especially in a tech context.
Be Clear About Your AI Experience:Since this role is all about embedding AI into business processes, be explicit about your experience with AI. Share examples of how you've used AI to improve workflows or decision-making, and don't shy away from discussing any risks involved.
Tailor Your Application:Make your application stand out by tailoring it to our job description. Use the same language we use and connect your skills and experiences directly to what we're looking for. This shows us that you really understand the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Seven Investment Management
✨Understand the Business Context
Before your interview, dive deep into the company’s mission and how they use AI in their operations. Familiarise yourself with their products and services, and think about how your skills can directly address their needs. This will help you frame your answers in a way that resonates with the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled real-world problems using AI or software development. Highlight your thought process, the assumptions you tested, and how you arrived at a solution. This will demonstrate your ability to think critically and apply your knowledge effectively.
✨Communicate Clearly with Non-Technical Stakeholders
Since this role involves working closely with business teams, practice explaining complex technical concepts in simple terms. Use analogies or relatable examples to convey your points. This will show that you can bridge the gap between technical and non-technical discussions.
✨Be Ready for Technical Challenges
Expect to face some technical questions or challenges during the interview. Brush up on your coding skills and be prepared to solve problems on the spot. Demonstrating your debugging and problem-solving abilities in a live environment will set you apart from other candidates.
