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Artificial Intelligence Engineer

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Artificial Intelligence Engineer
Principal AI Consultant
Overview
• Remote role with travel to client sites as required • Lead the delivery of enterprise-scale AI solutions for a growing consultancy • Highly client-facing role with influence across strategy, architecture, and delivery • Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies
About the Role
We’re partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions.
This is a highly consultative position suited to someone who is confident operating in client-facing environments, able to build trust quickly with senior stakeholders, and shape both client solutions and the wider AI capability.
Responsibilities
You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role encompasses:
- Simplifying highly technical concepts for non-technical stakeholders
- Leading workshops and shaping AI strategies
- Influencing delivery decisions and ensuring solutions are scalable, secure, and commercially valuable
- Providing hands-on engineering leadership and mentoring technical teams
- Defining best practices and growing the wider AI capability
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
The successful candidate will thrive in environments where:
- Communication and relationship-building are crucial
- Technical expertise and stakeholder engagement are equally important
- A collaborative, people-first culture fosters innovation and growth
Benefits
- Remote working with travel to client sites as required
- Opportunity to lead and grow a high-performing AI engineering team
- Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks
- Work across a broad range of industries and enterprise-scale projects
- Strong focus on learning, innovation, and career progression
- Collaborative, people-first culture
Essential Skills & Experience
- Previous experience working within a consultancy or client-facing environment
- Exceptional communication and stakeholder engagement skills
- Ability to influence and build trust with senior business and technical stakeholders
- Proven experience delivering AI solutions into production
- Strong Python and software engineering background
- Experience with the following platforms and technologies:
- Azure AI Foundry, Azure ML
- Databricks
- AWS SageMaker, Bedrock (or similar)
- Strong understanding of MLOps, CI/CD, observability, and production AI delivery
- Experience leading engineering teams and mentoring technical professionals
- Ability to lead workshops, shape solutions, and support decision-making in complex environments


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Key Skills
AI Consulting | AI Engineering | Stakeholder Management | Python | Azure AI Foundry | Databricks | MLOps | AWS SageMaker | Bedrock | Machine Learning | Cloud | AI Strategy | Technical Leadership
For applications: Please apply through this advert or email ryan.horne@searchability.com directly. Get in touch for further details: +01244 567 926
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