Senior Solutions Architect

Job Description

As a Senior Solutions Architect supporting Channel Partnerships, with an emphasis on Cloud and AI/ML, you will be a key technical leader working closely with solution partners, resellers, GSIs, and MSPs to enable successful customer outcomes at scale. You will collaborate with Channel, Sales, Solutions, Technical Account Management, and Engineering teams to solve complex partner-delivered customer challenges through technical excellence.

In this role, you will guide partners in designing scalable architectures, modernizing customer environments, and adopting cloud-native solutions. You will influence technical and delivery decisions, ensuring solutions align with customer business goals while enabling partners to operate independently and at scale.

? Act as a trusted technical advisor to channel partners, providing architectural guidance across a broad range of solutions and workloads.

? Collaborate with Channel Managers, Account Managers, and Technical Account Managers to align on partner-led customer objectives and success plans.

? Design and present repeatable architectures, delivery patterns, and best practices tailored to partner implementation models.

? Lead technical deep dives, whiteboarding sessions, and executive briefings in support of partner-led engagements.

? Drive partner-facing technical workshops, proof-of-concepts, and enablement sessions to accelerate customer adoption.

? Troubleshoot complex partner-delivered technical challenges, collaborating with Engineering and Support teams to ensure successful outcomes.

? Influence partner and customer architectures by clearly articulating the value proposition of DigitalOcean's cloud platform.

? Advocate for partner and customer needs internally, providing feedback to Product and Engineering teams to enhance platform capabilities.

? Support workload expansion, customer retention, and long-term channel partner success through proactive technical engagement.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

? 5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre-sales and solution strategy.

? Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi-cloud or hybrid cloud architectures.

? 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. ? 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.