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7IM

Forward Deployed AI Associate

London
Posted about 6 hours ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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

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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

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Skills

AI Fluency
Software Engineering
Problem Solving
API Design
Data Pipelines
Debugging
Stakeholder Engagement
Agile Practices
Observability
Secure Coding
Technical Analysis
Workflow Automation
Production Systems
Risk Assessment
Integration
Pattern-Driven Mindset

Location

London, England, United Kingdom

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