ApplySarthiSolutions Engineer, Enterprise
scaleai
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What solutions roles keep asking for: AWS (32%), Python (20%), Customer success (16%), Azure (15%), GCP (13%), Product management (12%) — counted across their open postings here.
Solutions Engineer jobs in the United Kingdom · Solutions Engineer jobs in London · Remote Solutions Engineer jobs · Generative AI jobs · Java jobs · LLMs jobs · Machine learning jobs
scaleai has 8 open roles listed here.
- Staff Technical Product Manager
- Staff Applied AI Engineer
- Forward Deployed Product Manager, Enterprise
- Engineering Manager, Infrastructure
- Applied AI Engineer, Global Public Sector
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for solutions roles keep coming back to AWS, Python, Customer success, Azure. Practise those questions before you sit with scaleai.
Questions you are likely to be asked
- Why do you want to join scaleai?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the Solutions Engineer, Enterprise at scaleai interview free →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.
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, Ernst & Young, 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.
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 ----- Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Listed on arbeitnow · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by scaleai, not by us.