At a Glance
- Tasks: Shape AI strategy and drive transformation with C-suite stakeholders.
- Company: Join a pioneering AI company expanding into Europe.
- Benefits: Competitive salary, travel opportunities, and a chance to influence AI innovation.
- Other info: Dynamic role with excellent growth potential and entrepreneurial culture.
- Why this job: Be at the forefront of enterprise AI and make a real impact.
- Qualifications: 5+ years in technical pre-sales or AI solution architecture required.
Build with us at the edge of enterprise AI, where product, trust, and real operational.
Join as one of the first UK hires for an AI company expanding into Europe. Shape operations, culture, and technical strategy from day one while building C‑suite relationships and driving strategic AI transformation.
Key Responsibilities- Engage directly with C‑suite stakeholders (CTO, CIO, CDO, Chief AI Officer) to shape AI strategy and influence investment decisions.
- Lead technical sales journey — from discovery and architecture design to POCs, proposals, negotiation, and deal close.
- Drive executive workshops aligning Jeen AI’s capabilities to customers’ business goals and transformation priorities.
- Design scalable, secure AI architectures for enterprise environments, including multi‑cloud and hybrid landscapes.
- Build prototypes and POCs to validate and accelerate customer decision‑making.
- Present platform demos and solutions to audiences ranging from data scientists to executive boards.
- Influence commercial strategy by contributing to pricing, solution scoping, and value‑based proposals.
- Represent Jeen AI at industry events and C‑level roundtables, contributing to thought leadership in the European AI ecosystem.
- Ensure seamless transition from pre‑sales to delivery with technical integrity and customer satisfaction.
- 5+ years in technical pre‑sales, solution engineering, or AI solution architecture within enterprise software or data platforms.
- Demonstrated success building C‑suite relationships and influencing senior decision‑makers during complex sales cycles.
- Experience across European markets (UK + 1–2 other regions), with understanding of local ecosystems and data regulations.
- Deep domain expertise in Financial Services, Healthcare, or Pharma.
- Strong hands‑on experience with AI/ML platforms, data pipelines, APIs, cloud infrastructure (AWS, Azure, GCP, OpenAI), and MLOps.
- Proven ability to translate technical solutions into strategic business value and ROI for executive audiences.
- Exceptional communication and presentation skills for workshops, strategy sessions, and board‑level demos.
- Entrepreneurial mindset — self‑starter, thrives in ambiguity and high‑growth environments.
- Willingness to travel frequently across Europe (20–40%).
- AI/ML certifications, publications, conference speaking, or OSS contributions.
Our partner ecosystem spans multiple industries and expertise areas.
Own the outcome. We care about results, not just tasks. People at Jeen are trusted to take responsibility, make decisions, and push meaningful work forward.
Build with clarity. Enterprise AI is complex. We value people who can simplify, focus, communicate clearly, and turn ambiguity into progress.
Move fast, stay accountable. We work with urgency, but not carelessly. We move quickly while staying thoughtful about quality, security, and the people who rely on what we build.
AI Solution Engineer – Technical Business Development Projects London View role employer: Jeen.ai
At Jeen AI, we are at the forefront of enterprise AI innovation, offering a dynamic work environment where you can shape our operations and culture from the ground up. As an AI Solution Engineer in London, you'll engage directly with C-suite executives, driving strategic transformations while enjoying a culture that values accountability, clarity, and rapid progress. With ample opportunities for professional growth and the chance to influence the European AI landscape, Jeen AI is an exceptional employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Engineer – Technical Business Development Projects London View role
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Solution Engineer – Technical Business Development Projects London View role
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Jeen.ai, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jeen.ai. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jeen.ai
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jeen.ai!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
