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Senior Solutions Architect; AI​/ML

Job in Austin, Travis County, Texas, 78716, USA
Listing for: DigitalOcean
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 141120 - 176400 USD Yearly USD 141120.00 176400.00 YEAR
Job Description & How to Apply Below
Position: Senior Solutions Architect (AI/ML)

Digital Ocean is seeking a Senior Solutions Architect (AI/ML) to partner with our most strategic accounts and design scalable, reliable, and innovative AI/ML solutions. As a key technical leader, you will influence technical and business decisions, modernize customer workloads, and position Digital Ocean as the preferred cloud for AI/ML and GPU needs.

What You’ll Do
  • Act as a trusted technical advisor for accounts and partners, focusing 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-concepts, and executive briefings to accelerate adoption.
  • Demonstrate strong expertise in AI/ML frameworks like Tensor Flow and PyTorch and platforms like Hugging Face, deploying and fine‑tuning LLMs and GenAI models.
  • Optimize AI/ML workloads using CUDA, Tensor

    RT, vllm, and quantization methods (INT4, INT8, FP8).
  • Educate customers on building scalable AI applications using Kubernetes, storage, and databases.
  • Show proficiency in Dev Ops tools such as 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 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 success criteria.
  • Product & Feature Advocacy – Measurable impact on product improvement through feedback and feature requests.
What You’ll Add To Digital Ocean
  • 5+ years of solutions architecture, technical consulting, or software engineering experience with a pre‑sales track record.
  • Deep expertise in AI/ML frameworks and platforms such as Tensor Flow, PyTorch, and Hugging Face.
  • Experience deploying and fine‑tuning LLMs (Deep Seek, Llama, Claude, GPT‑4) and GenAI models.
  • Strong knowledge of Kubernetes, Linux, distributed systems, GPU optimization (CUDA, Tensor

    RT), and cloud storage.
  • Hands‑on experience with vllm and quantization methods (INT4, INT8, FP8).
  • Familiarity with Dev Ops tools (Docker, Terraform, CI/CD) and modern cloud‑native practices.
  • Excellent communication skills and ability to present to engineers and executives.
  • Proven ability to lead complex technical engagements from discovery to post‑deployment success.
  • Strong consultative approach, identifying customer needs and crafting tailored solutions.
Preferred
  • Contributions to open‑source or technical communities related to AI/ML, cloud infrastructure, Dev Ops, or cloud‑native technologies.
  • Advanced knowledge of public cloud platforms (AWS, Azure, GCP) and experience designing multi‑cloud or hybrid cloud solutions.
  • Advanced AI/ML and GPU certifications from major providers (NVIDIA, AMD).
  • Hands‑on experience building internal tools, automation scripts, or frameworks to streamline migrations and deployments.
  • Active participation in cloud‑native or developer communities, including talks at meetups, conferences, or forums.
  • Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture.
  • Familiarity with partner ecosystems and integration strategies with ISVs and channel partners.
Compensation Range
  • $141,120 – $176,400
  • This is a remote role.
Why You’ll Like Working for Digital Ocean
  • We innovate with purpose and simplify cloud and AI for builders.
  • We prioritize career development with resources and paid training.
  • We care about employee well‑being with benefits, flexible time off, and support programs.
  • We reward excellence with competitive salary, bonuses, equity, and an employee stock purchase program.
  • Digital Ocean is an equal‑opportunity employer.

Application Limit:
You may apply to a maximum of 3 positions within any 180‑day period.

Referrals increase your chances of interviewing at Digital Ocean by 2x.

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Position Requirements
10+ Years work experience
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