Senior Solutions Architect II (AI/ML)

San Francisco

Actively hiring, first seen by us 1 day ago

Pay: Multiple pay statements — pay source
Compensation Range: Base Salary Range: $100,000 - $120,000 On-Target Earnings (OTE): $133,333 - $160,000
Base Salary Range: $100,000 - $120,000 On-Target Earnings (OTE): $133,333 - $160,000 Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance
Read the full posting
Work setting: Remote — work setting source
Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. *This is a remote role JR: 2026-7821
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Advise strategic accounts and partners on AI/ML and GPU-based cloud architecture
Design, present, and implement scalable architectures and AI solutions
Lead technical deep dives, workshops, POCs, and executive briefings
Optimize AI/ML workloads with inference engines and quantization
Feed customer feedback into product roadmaps and troubleshoot with Engineering

From the employer’s posting

Act as a trusted technical advisor for strategic accounts and partners, with a focus on AI/ML and GPU-based workloads.

Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs.

Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate adoption.

Optimize AI/ML workloads using high performance inference engines like vLLM, SGLang, TensorRT, and quantization methods (INT4, INT8, FP8).

Provide customer feedback to shape product roadmaps and enhance platform capabilities.

Apply at Digitalocean Holdings

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 5, 20261 day ago
Recorded sightings: 2
Last seen by us: Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 71.

At Digitalocean Holdings, jobs usually come down by about day 46.

From 4,626 similar postings that came down, and 7 of Digitalocean Holdings’s. Coming down is not always a hire.

Digitalocean Holdings is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

AWS
Azure
Docker
GCP
Kubernetes
Terraform
Hugging Face
PyTorch
TensorFlow

Where the posting names them

- 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.

- 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.

- Hands-on experience leveraging engines like vLLM, SGLang, TensorRT 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.

- Optimize AI/ML workloads using high performance inference engines like vLLM, SGLang, TensorRT, and quantization methods (INT4, INT8, FP8). - 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.

- Experience deploying and fine-tuning LLMs (DeepSeek, Qwen, Llama, Claude, GPT-4) and other GenAI models using SFT, LoRA, QLoRA techniques. - Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems (CUDA, ROCm). - Hands-on experience leveraging engines like vLLM, SGLang, TensorRT and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.

- Lead technical deep dives, workshops, proof-of-concepts, 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. - Optimize AI/ML workloads using high performance inference engines like vLLM, SGLang, TensorRT, and quantization methods (INT4, INT8, FP8).

- 7+ 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, Qwen, Llama, Claude, GPT-4) and other GenAI models using SFT, LoRA, QLoRA techniques.

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About Digitalocean Holdings

People: About 1,462 in 2025, up 21% from the year before.Annual report (SEC Form 10-K)
Company: Listed as DOCN.
H-1B visas: 19 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

We are looking for a Senior Solutions Architect II who is passionate about solving complex cloud infrastructure challenges especially in the fast-growing AI/ML space.

As a Senior Solutions Architect II 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.

In this role, you will collaborate with Sales, Technical Account Management, and Partner teams to deliver technical excellence that drives both new customer acquisition and the expansion of existing relationships. As the technical subject matter expert, you will design, implement, and optimize cloud solutions that are high-performing, resilient, and aligned to customer needs..

Additionally, you will work cross-functionally with Product, Engineering, and Operations to ensure customer feedback shapes the continuous improvement of DigitalOcean’s products and services. Your technical leadership and consultative approach will be essential in building trusted relationships, influencing strategic decisions, and positioning DigitalOcean as the preferred cloud partner for growing businesses and strategic partners.

This is an exciting opportunity to combine your technical depth, business acumen, and communication skills to drive meaningful impact on DigitalOcean’s growth and success.

What You’ll Do

As a Senior Solutions Architect II supporting Strategic Accounts & Partnerships with emphasis on AI/ML and GPU-based technologies, you will be a key technical leader, working closely with some of our most important customers and partners to drive innovation, cloud adoption, and long-term success. You will collaborate with account teams, Technical Account Management, engineering, and partner organizations to solve complex business challenges through technical excellence.

In this role, you will guide customers in designing scalable architectures, modernizing legacy systems, and adopting cloud-native solutions. You will influence technical and strategic decisions, ensuring our solutions align with the customer’s business goals while fostering deep and trusted relationships across multiple stakeholders.

Act as a trusted technical advisor for strategic accounts and partners, with a focus on AI/ML and GPU-based workloads.
Collaborate with Account Executives, 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-concepts, 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.
Optimize AI/ML workloads using high performance inference engines like vLLM, SGLang, TensorRT, and quantization methods (INT4, INT8, FP8).
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 strategic account usage.
Reduction in Time-to-Value - Acceleration of onboarding, POCs, and migrations for strategic 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

7+ 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, Qwen, Llama, Claude, GPT-4) and other GenAI models using SFT, LoRA, QLoRA techniques.
Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems (CUDA, ROCm).
Hands-on experience leveraging engines like vLLM, SGLang, TensorRT 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.

Compensation Range:

Base Salary Range: $100,000 - $120,000
On-Target Earnings (OTE): $133,333 - $160,000
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

*This is a remote role

JR: 2026-7821

#LI-Remote

Why You’ll Like Working for DigitalOcean

We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.

Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

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.

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