AHEAD · 5 hours ago
Specialty Solutions Engineer, AI-Modern Data Center
United States
Full-time
Remote
Senior Level
$250K/yr - $300K/yr
7+ years expAHEAD builds platforms for digital business, focusing on cloud infrastructure and digital transformation. The Senior Modern Datacenter Specialist Solutions Engineer will lead presales technical efforts in designing AI infrastructure solutions, collaborating with various stakeholders to drive market strategies and win campaigns in the enterprise market.
Cloud ComputingInformation TechnologySoftwareStaffing AgencyVirtualization
No H1B
U.S. Citizen Only
Responsibilities
Lead technical discovery and solution positioning for enterprise AI infrastructure opportunities, translating business outcomes into reference architectures and value propositions
Own pre-sales deliverables including architectures, diagrams, sizing, BOMs, proposals
Deliver executive and technical presentations focused on NVIDIA AI Enterprise (NVAIE), LLM training/inference, and accelerated analytics
Guide clients through technology selection, roadmap development, and business case creation for large-scale AI initiatives
Architect end-to-end AI platforms using NVIDIA DGX/HGX, Blackwell (B100/B200), Hopper (H100/H200), Grace/Grace-Hopper (GH200), L40S, NVLink/NVSwitch, InfiniBand (NVIDIA Quantum), RoCE, and DPU offload patterns
Design solutions leveraging AMD Instinct (MI300/MI300X) as appropriate, articulating trade-offs in CPU/GPU/DPU, interconnect topology, and cluster scale-out
Integrate NVIDIA AI Enterprise components (CUDA, cuDNN, TensorRT, Triton Inference Server, RAPIDS) and common ML frameworks (PyTorch, TensorFlow) with orchestration platforms
Experience integrating on-prem GPU clusters with cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI) for hybrid bursting and workload mobility
Advise on MLOps platforms (MLflow, Kubeflow, Weights & Biases), CI/CD, and governance for multi-tenant AI environments
Build and maintain relationships with NVIDIA, AMD, Run:AI, OEMs, and networking vendors, aligning campaigns with partner programs and incentives
Contribute feedback to vendor engineering and product teams, coordinating joint enablement and reference designs
Create repeatable assets such as validated designs, sizing calculators, POV guides, deployment runbooks, and competitive playbooks
Mentor SEs and delivery consultants, leading internal training on AI scheduling, performance tuning, and operational best practices
Lead proof-of-value (POV) and proof-of-concept (POC) engagements, including success criteria, benchmarking, and recommendations
Qualification
Required
Proven experience architecting and deploying NVIDIA GPU-based AI platforms (NVAIE, DGX/HGX, Blackwell, Hopper, Grace, L40S, H100/H200, B100/B200, GH200) and/or AMD Instinct MI300/MI300X
Experience with Run:AI, NVIDIA Base Command, Kubernetes (GPU Operator), Slurm, and/or vSphere with Tanzu for AI/ML workloads
Advanced knowledge of AI/ML frameworks and libraries (PyTorch, TensorFlow, RAPIDS, Triton, CUDA, cuDNN, TensorRT)
Strong understanding of high-speed networking for AI (InfiniBand, RoCE, DPU integration, NVLink, NVSwitch)
Experience integrating on-prem AI infrastructure with public cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI) and hybrid architectures
Experience leading pre-sales campaigns, POV/POC management, and executive presentations
Ability to identify and leverage emerging datacenter and AI technologies to drive innovative solutions
Strong analytical skills for troubleshooting complex environments, including storage, compute, networking, and AI workloads
Skilled at guiding clients through decision-making with clear, strategic recommendations
Proven track record of working effectively across sales, engineering, and vendor teams
Knowledge of datacenter security best practices and regulatory compliance
Bachelor's degree in computer science, Engineering, or related field; advanced degree a plus
7+ years in datacenter or cloud infrastructure, with 3+ years directly on AI/GPU platforms and orchestration
US work authorization required; US citizenship preferred for certain regulated clients
Willingness to travel for client engagements and partner events
Preferred
NVIDIA Certified Systems Engineer / AI Practitioner; NVAIE enablement badges
Kubernetes CKA/CKS; GPU Operator experience
AWS/Azure/GCP Architect; relevant AI/ML specialty
Benefits
Medical, Dental, and Vision Insurance
401(k)
Paid company holidays
Paid time off
Paid parental and caregiver leave
Plus more! See benefits https://www.aheadbenefits.com/ for additional details.
Company
AHEAD
AHEAD is a solutions-based company that helps clients move to an optimized IT service delivery model.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$97.72M2024-05-06Series Unknown· $5.7M
2024-02-15Series Unknown· $43.6M
2023-11-02Series Unknown· $5.77M
Leadership Team
Daniel Adamany
Founder and CEO
S
Stephen Ayoub
Co-Founder and President
Recent News
2025-11-19
Company data provided by crunchbase