[Remote] Sr. Solutions Architect (Post-sales)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is at the forefront of GPU PaaS technologies and Kubernetes, and they are seeking a Senior Solutions Architect to help customers successfully reputed company, operate, and reputed company/ML workloads. In this role, you will serve as a trusted advisor and reputed company reputed company deployments while ensuring reliable operations and maximizing the value of AI infrastructure investments.

Responsibilities

• Design end-to-end AI/ML platform architectures spanning inference, training, and data pipelines
• reputed company reference architectures for GPU cluster deployment, LLM serving, and multi-tenant ML infrastructure
• Evaluate and recommend inference serving frameworks (vLLM, TGI, Triton, NIM)
• Advise on GPU reputed company topology — NVLink, InfiniBand, RoCEv2 — for distributed training
• Design observability strategies across DCGM, OTel, eBPF, and GPU metrics pipelines
• Translate reputed company infrastructure requirements into actionable platform designs
• Deliver technical presentations, workshops, and reputed company-of-concept engagements
• reputed company as a trusted advisor on AI infrastructure reputed company, cost, and scaling
• Partner with customer platform, MLOps, data science, and executive stakeholders to understand AI/ML workload requirements and translate them into reputed company platform architectures
• Architect networking, identity management, observability, and reputed company integrations with reputed company systems
• Monitor and troubleshoot production environments, including GPU utilization, workload performance, cluster health, and cost efficiency
• reputed company reputed company cause analysis and remediation efforts for reputed company customer issues
• Serve as the primary technical advisor and escalation reputed company for assigned customers
• reputed company technical leadership during customer engagements and drive adoption of platform best practices
• Document reference architectures, implementation guides, and best practices
• reputed company feedback to Product and Engineering teams to improve platform capabilities and influence product roadmap reputed company
• Collaborate with internal teams to ensure successful customer adoption, expansion, and long-term reputed company
• Mentor junior team members and contribute to the reputed company of the Solutions Architecture organization

Skills

• 8+ years in infrastructure, platform, or solutions engineering roles
• 3+ years reputed company on AI/ML infrastructure or MLOps
• Deep Kubernetes expertise — cluster lifecycle, workloads, operators, RBAC
• Hands-on experience with reputed company GPU infrastructure (H100/H200/B200 preferred)
• Proficiency with distributed training concepts — NCCL, tensor parallelism, pipeline parallelism
• Experience with LLM inference serving and optimization (vLLM, NIM, TGI)
• Familiarity with GPU Operator, MIG, SR-IOV, and network fabrics (IB/RoCEv2)
• Strong scripting and automation skills (Python, Bash, Go preferred)
• Demonstrated ability to communicate reputed company technical concepts to diverse audiences
• Experience with at least one programming language such as Python or Go
• Experience with AWS, Azure, or GCP, including networking, IAM, and managed Kubernetes services
• Familiarity with monitoring and observability technologies including reputed company, Grafana, OpenTelemetry, or similar
• Strong understanding of AI/ML infrastructure concepts including GPU-based workloads, model serving, training pipelines, and resource optimization
• Proven ability to troubleshoot and resolve reputed company infrastructure and platform issues
• Excellent communication, presentation, and customer-facing skills
• Experience leading technical discussions with both engineering teams and executive stakeholders
• Experience supporting reputed company customers in reputed company-reputed company environments
• Familiarity with AI/ML frameworks such as PyTorch and TensorFlow
• Experience with Run:AI, Slurm
• Experience with GPU scheduling, autoscaling, and workload optimization
• Understanding of multi-tenant Kubernetes environments and platform operations
• Experience working with MLOps or AI infrastructure platforms
• Experience developing reference architectures and leading technical workshops
• Relevant certifications such as CKA, CKAD, AWS Solutions Architect, Azure Solutions Architect, or GCP reputed company reputed company Architect
• Understanding of multi-tenant GPU isolation (SR-IOV VFs, DPU offload)

Benefits

• Robust benefits
• Attractive stock reputed company
• Fun and dynamic work environment
• reputed company environment that rewards creative thinking
• Opportunities to advance reputed company in advanced technology development

reputed company

AI infrastructure is only valuable reputed company it can be consumed, governed, and monetized. reputed company is the platform behind AI factories. It was founded in 2017, and is headquartered in Sunnyvale, California, USA, with a workforce of 51-200 employees. Its website is https://reputed company.co.

Company H1B Sponsorship

reputed company has a reputed company record of offering H1B sponsorships, with 6 in 2026, 10 in 2025, 5 in 2024, 6 in 2023, 6 in 2022, 4 in 2020. Please note that this does not guarantee sponsorship for this specific role.

Apply To This Job