At a Glance
- Tasks: Design and implement innovative cloud solutions in the AI/ML space.
- Company: Join DigitalOcean, a cutting-edge tech company revolutionising cloud computing.
- Benefits: Competitive salary, bonuses, equity options, and access to 10,000+ LinkedIn Learning courses.
- Why this job: Make a real impact while working with top talent in a fast-paced environment.
- Qualifications: 5+ years in Solutions Architecture with expertise in AI/ML frameworks.
- Other info: Dynamic team culture focused on growth, learning, and collaboration.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast‑paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Position Overview
We are looking for a Senior Solutions Architect (AI/ML) who is passionate about solving complex cloud infrastructure challenges especially in the fast‑growing AI/ML space. As a Senior Solutions Architect at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Senior Manager of Solutions Architecture, you’ll partner with our most strategic accounts and partnerships to design and implement scalable, reliable, and innovative cloud solutions. You will influence both technical and business decisions, help customers modernize their workloads, and position DigitalOcean as the preferred cloud for their AI/ML and GPU needs.
What You’ll Do
- Act as a trusted technical advisor for your accounts and partners, with a focus on AI/ML and GPU‑based workloads.
- Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals.
- Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs.
- Lead technical deep dives, workshops, proof‑of‑conceptions, and executive briefings to accelerate adoption.
- Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine‑tuning LLMs and GenAI models.
- Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases.
- Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
- Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams.
- Provide customer feedback to shape product roadmaps and enhance platform capabilities.
- Support workload expansion, retention, and long‑term partnership growth through proactive technical engagement.
Key Metrics
- Technical Growth Enablement - Design and deliver solutions that unlock new workloads, increase platform adoption, and expand account usage.
- Reduction in Time‑to‑Value - Accelerate onboarding, POCs, and migrations for accounts.
- POC & Migration Success Rate - Percentage of proofs‑of‑concept and migrations completed on time and meeting defined success criteria.
- Product & Feature Advocacy - Measurable impact on product improvements through feedback, feature requests, and advocacy with Product and Engineering.
What You’ll Add To DigitalOcean
- 5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre‑sales and solution strategy.
- Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face.
- Experience deploying and fine‑tuning LLMs (DeepSeek, Llama, Claude, GPT‑4) and GenAI models.
- Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT).
- Hands‑on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
- Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud‑native practices.
- Excellent communication skills, comfortable engaging and presenting to both engineers and executives.
- Proven ability to lead complex technical engagements from discovery and solution design to post‑deployment success.
- Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives.
Preferred
- Contributions to open‑source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud‑native technologies.
- Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi‑cloud or hybrid cloud architectures.
- Advanced AI/ML and GPU certifications from major providers like NVIDIA and AMD.
- Hands‑on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices.
- Active participation in cloud‑native or developer communities, including presenting at meetups, conferences, or contributing to forums.
- Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership.
- Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions.
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be a part of a cutting‑edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high‑performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well‑being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit
You may apply to a maximum of 3 positions within any 180‑day period. This policy promotes better role‑candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Senior Solutions Architect employer: DigitalOcean
Contact Detail:
DigitalOcean Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at DigitalOcean or similar companies. A friendly chat can lead to valuable insights and even referrals that could get your foot in the door.
✨Tip Number 2
Prepare for interviews by diving deep into AI/ML topics and DigitalOcean's offerings. Show off your knowledge of frameworks like TensorFlow and PyTorch, and be ready to discuss how you can tackle complex cloud challenges. Confidence is key!
✨Tip Number 3
Don’t just wait for job openings—create opportunities! Consider reaching out directly to hiring managers or team leads at DigitalOcean. Express your passion for their mission and how your skills align with their needs.
✨Tip Number 4
Keep an eye on our website for the latest job postings and updates. Applying through our site not only shows your interest but also ensures your application gets the attention it deserves. Let’s make your dream job a reality!
We think you need these skills to ace Senior Solutions Architect
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI/ML and cloud solutions shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and what we do at DigitalOcean.
Tailor Your Experience: Make sure to highlight your relevant experience in Solutions Architecture and any specific projects you've worked on that relate to AI/ML. We love seeing how your background aligns with our needs, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without wading through fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at DigitalOcean
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI/ML frameworks like TensorFlow and PyTorch. Be ready to discuss how you've used these tools in past projects, especially when it comes to deploying and fine-tuning models. Showing that you can talk the talk will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex cloud infrastructure challenges. Think about times when you designed scalable architectures or modernised workloads. This is your chance to demonstrate your consultative approach and how you align solutions with business objectives.
✨Engage with the Team
DigitalOcean values collaboration, so be ready to discuss how you've worked with cross-functional teams in the past. Highlight your experience collaborating with Account Managers and Technical Account Managers to develop success plans. This shows you're a team player who can drive results together.
✨Ask Insightful Questions
Prepare thoughtful questions about DigitalOcean's approach to AI/ML and their future plans. This not only shows your genuine interest in the company but also gives you a chance to assess if their culture and goals align with yours. Plus, it makes for a more engaging conversation!