At a Glance
- Tasks: Create innovative AI applications and support customers in their journey to success.
- Company: Join Together AI, a leader in the AI Native Cloud space.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic workplace with a focus on collaboration and customer success.
- Why this job: Make a real impact in a fast-paced, innovative environment with cutting-edge technology.
- Qualifications: 7+ years in technical roles, strong AI knowledge, and excellent communication skills.
The predicted salary is between 63000 - 77000 £ per year.
As a Solutions Architect (Inference) at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.
Responsibilities
- Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together.
- Run complex demonstrations and POCs of Together’s entire stack, including both hardware and software solutions.
- Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions.
- Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications.
- Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs.
- Build educational content and tooling for both internal and external use around Together’s solutions (i.e., playbooks, blogs, demos, etc.).
Qualifications
- 7+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function.
- Must have a demonstrable background in building and delivering technical solutions within a Solutions Consulting / Pre-Sales environment, with strong experience leveraging the latest open-source models, ideally within inference-driven use cases.
- Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to consult with new and existing customers to map business needs to technical solutions.
- Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
- Strong understanding of training, fine-tuning and inference in the context of open source LLMs.
- Proficiency in Python and JavaScript, with experience building and delivering prototypes on API platforms.
- Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible), container infrastructure (Docker), and scripting and programming languages (Python, Javascript).
- Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.
- Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritisation.
About Together AI
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialised models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
Application Policy
Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Solutions Architect (Inference) employer: PreSales Collective
At Snowflake, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team enjoys a dynamic work environment where professional growth is encouraged through continuous learning opportunities and hands-on experience with cutting-edge technologies. Located in a vibrant tech hub, we offer competitive benefits and the chance to make a meaningful impact in the rapidly evolving field of AI and data cloud solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect (Inference)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at PreSales Collective or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to PreSales Collective.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like PreSales Collective.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like PreSales Collective that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solutions Architect (Inference)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at PreSales Collective.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at PreSales Collective and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at PreSales Collective
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If PreSales Collective uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
