TrueNorth®
AI Transformation Engineer - Agentic AI & Internal tooling

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AI Transformation Engineer – Agentic AI & Internal Tooling
6-month contract | Competitive day rate | Hybrid London – typically 2 days per week (flexible)
We’re working with an international cloud-based SaaS business that is investing significantly in becoming an AI-first organisation.
They are looking for a highly capable, hands-on AI engineer to build and embed a portfolio of internal AI tools, workflow agents, and reusable skills. Many of these tools will support go-to-market teams across sales, marketing, and customer success.
This isn’t a strategy, advisory, or people-management role. You’ll personally identify the problems worth solving, make pragmatic build-versus-buy decisions, design the technical approach, write the code, integrate the relevant systems, and take each solution through to production adoption.
The challenge is finding someone who can genuinely do both sides of the role:
- Build technically robust, production-grade AI tools and agentic workflows
- Communicate credibly with senior executives and turn ambiguous business problems into practical solutions
The opportunity
- You’ll operate with significant autonomy and visibility, reporting to the Chief of Staff and working closely with the CEO, VP of Engineering, and senior commercial leaders.
- The business already has several AI-enabled tools in use. Your role will be to assess the existing landscape, identify where separate tools should be consolidated, and create a more coherent, secure, and maintainable AI infrastructure.
- You’ll also gain exposure to the organisation’s investors and wider portfolio, making this an excellent opportunity to lead a genuine business-wide AI transformation and leave with a substantial portfolio of work.
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
Why you're a good match
StrongYour 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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you’ll deliver
- A portfolio of production-ready AI tools, agents, and workflow automations
- Discovery sessions with senior leaders across sales, marketing, customer success, and other functions
- A prioritised delivery backlog focused on measurable commercial value
- Clear and commercially grounded build-versus-buy decisions
- Secure integrations with internal systems, APIs, and third-party platforms
- A cohesive technical architecture for internal AI tooling
- Adoption plans, usage tracking, and continuous iteration based on feedback
- Measurable reductions in manual effort, operating cost, or time spent
- Clear documentation and handover to permanent owners at the end of the engagement
What we’re looking for
- A genuinely hands-on AI engineer who can independently design, build, test, and deploy solutions
- Experience delivering production agentic AI tools using Claude, MCP, or comparable technologies
- Strong software engineering fundamentals and a clear understanding of architecture
- Experience integrating APIs, connectors, business systems, and trusted data sources
- The ability to assess architecture, security, scalability, and maintainability—not simply assemble tools
- Sound judgement when deciding whether to build, buy, integrate, or retire a solution
- A product mindset: identifying the real problem, prioritising the highest-value opportunity, and iterating until adoption sticks
- Confidence running discovery sessions with C-suite and senior departmental stakeholders
- The communication skills to challenge ideas, explain trade-offs, and secure stakeholder commitment
- A strong approach to data security, least-privilege access, auditability, and AI governance
- The discipline to reject ideas that won’t deliver sufficient value


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This role would suit someone who remains close to the code but is equally comfortable sitting with a CMO, CCO, or CEO, understanding their objectives, and constructively challenging how AI should be applied.
Contract details
- Duration: Initial six-month contract, with potential to extend
- Location: Hybrid London, typically 2 days per week depending on collaboration requirements
- Travel: Occasional international travel may be required (expenses paid)
- Rate: Competitive and dependent on experience
If you’ve built production AI agents and internal tools—and can combine serious technical depth with strong commercial and stakeholder skills—we’d like to hear from you.
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