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Scale AI

Solutions Engineer, Enterprise

London
Posted 3 months ago
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Solutions Engineer, Enterprise

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise.

You will:

Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the “technical win” by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop “Scopes of Work” by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

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.

P

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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It searches the market for you

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.

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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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Strong

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.

Ideally, you'd have:

Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organizations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves:

GenAI Experience Forward deployed engineering experience Machine Learning Experience

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

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Skills

Solutions Engineering
Generative AI
Large Language Models
Python
Java
Web Development
Project Management
Technical Expertise
Customer Engagement
Presentation Skills
Relationship Building
Problem Solving
Technical Win
Software Engineering
Machine Learning
Cloud Technology

Location

London, England, United Kingdom

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