At a Glance
- Tasks: Collaborate with customers to translate business needs into AI applications and lead pre-sales activities.
- Company: Join Together AI, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Shape the future of AI while making a real impact on customer success.
- Qualifications: 7+ years in customer-facing roles, pre-sales experience, and strong AI/ML knowledge.
The predicted salary is between 63000 - 77000 £ per year.
Together AI is hiring a Solutions Architect (Inference) to collaborate with customers and prospects, translating business needs into AI applications built on Together AI’s stack. You will lead demonstrations, guide pre-sales activities, and help shape customer success across deployment and scaling.
Ideal candidates bring:
- 7+ years in customer-facing technical roles with pre-sales experience
- Deep knowledge of AI/ML and open-source LLMs
- Strong communication skills to engage non-technical stakeholders
Generative AI Solutions Architect (Inference) – Pre-Sales employer: Togetherai
Together AI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. Employees benefit from extensive growth opportunities, including hands-on experience with cutting-edge technologies and direct engagement with clients to shape impactful solutions. Located in a vibrant tech hub, Together AI provides a supportive environment where your contributions are valued, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Solutions Architect (Inference) – Pre-Sales
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Togetherai!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Togetherai.
✨Apply Directly through Our Website
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We think you need these skills to ace Generative AI Solutions Architect (Inference) – Pre-Sales
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Togetherai, 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 Togetherai. 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 Togetherai
✨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!
✨Showcase Your Projects
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 Togetherai!
✨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.
