Senior Solutions Architect

As a Senior Solutions Architect supporting complex 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 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-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 tools like CUDA, TensorRT, vllm, 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.

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/.

● 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.

● 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.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.