Solutions Engineer - AI Lab

SHI International Corp. • Piscataway, NJ

20h • $100,000 - $250,000 • Hybrid

About The Position

The Solutions Engineer for the AI Lab will support the development, evaluation, and delivery of AI-focused infrastructure and platform solutions across Advanced Growth Technologies. This role serves as a technical resource for AI solutions, helping translate customer and business requirements into validated architectures, infrastructure designs, Bills of Materials (BOMs), and deployment recommendations. This position partners closely with AI Lab leadership, Solutions Architects, sales teams, engineering, and technology partners to support solution development, technical validation, customer engagements, and presales activities. The role is focused on executing and enabling AI Lab solutions through technical expertise, solution configuration, technical demonstrations, and customer-facing support.

Requirements

• Intermediate knowledge of Linux, Kubernetes, and orchestration.
• Knowledge of AI infrastructure, networking, and storage.
• Ability to design data center infrastructures that include hybrid cloud, hyper-converged, software-defined data center (SDDC), Infrastructure/Platform as a Service (IaaS/PaaS), automation, containerization, and Data Center Management Platforms – Intermediate.
• Strong knowledge of virtualization technologies, hypervisors, server virtualization, Software Defined Data Center (SDDC), containerization, and automation – Intermediate.
• Ability to effectively communicate and position complex technical products or services by understanding customer needs, articulating value propositions, and providing technical expertise throughout the sales process – Intermediate.
• Expertise in mainstream technologies including Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, and Nutanix – Intermediate.
• Experience with Disaster Recovery, Business Continuity, and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) – Intermediate.
• Experience working with AI infrastructure platforms, GPU-based computing, and modern data center technologies – Intermediate.
• Understanding of AI and machine learning infrastructure concepts, including training and inference workloads – Intermediate.
• Bachelor's degree or equivalent work experience required.
• 3–5+ years of experience in presales engineering, solutions engineering, infrastructure consulting, or technical solution design focused on data center technologies, cloud platforms, or AI infrastructure.
• Experience designing, configuring, or supporting infrastructure solutions in enterprise data center environments.
• Familiarity with GPU technologies, AI infrastructure platforms, or high-performance computing environments.
• Experience developing Bills of Materials (BOMs), technical configurations, sizing recommendations, and solution documentation.
• Ability to support customer discovery sessions, technical workshops, demonstrations, and proof-of-concept engagements.
• Strong self-directed learning mindset with the ability to stay current in rapidly evolving AI, infrastructure, and platform ecosystems.
• Excellent communication, presentation, organizational, and time management skills.
• Ability to collaborate effectively with sales, engineering, partners, and customers in a fast-paced technology environment.
• Willingness to work flexible schedules, including evenings and weekends, as project needs require.
• Ability to travel up to 15% for customer, partner, and industry engagements.

Nice To Haves

• Certifications in NVIDIA technologies (e.g., DGX Certified) or relevant OEM, cloud, or infrastructure platforms.
• Experience with NVIDIA DGX systems, HGX-based platforms, or other AI-optimized infrastructure solutions.
• Experience in enterprise data center technologies and solutions.
• Knowledge of data center power, cooling, and rack design considerations.
• Familiarity with AI software frameworks and platforms such as TensorFlow, PyTorch, Kubernetes, and containerized AI workloads.
• Experience supporting cloud, hybrid-cloud, or AI infrastructure deployments.
• Knowledge of AI Factory concepts, NCPs, and AI Cloud Providers.
• Experience with Proof of Concepts (POCs), workload sizing, benchmarking, or infrastructure validation activities.
• Strong problem-solving skills and a customer-centric mindset.
• Experience working with OEM reference architectures and solution design methodologies.
• Advanced certifications, published research, or open-source contributions related to AI, infrastructure, or cloud technologies are considered a plus.

Responsibilities

• Design and validate AI infrastructure solutions that align with customer use cases, AI Lab offerings, partner technologies, and business requirements.
• Utilize OEM and partner reference architectures to recommend scalable, performant, and cost-effective AI platforms.
• Participate in customer discovery sessions, workshops, and technical consultations to assess requirements and recommend AI infrastructure solutions.
• Act as a technical advisor throughout the presales lifecycle, helping customers understand solution capabilities, deployment considerations, and expected outcomes.
• Develop detailed infrastructure configurations including servers, GPUs, networking, storage, power, cooling, and rack requirements.
• Create and maintain accurate Bills of Materials (BOMs), sizing recommendations, and technical solution documentation.
• Support and deliver technical demonstrations, solution walkthroughs, proofs of concept (POCs), and platform validation activities for customers and internal stakeholders.
• Assist with testing and validating AI infrastructure designs to ensure readiness for customer deployment.
• Partner with AI Lab leadership, Solutions Architects, Sales, Engineering, Product Management, and Partner teams to support solution development and customer opportunities.
• Collaborate with account teams to align technical recommendations with customer business objectives and desired outcomes.
• Work closely with NVIDIA, OEM partners, cloud providers, and technology vendors to stay current on product roadmaps, certifications, and emerging AI technologies.
• Support evaluation of AI platforms, infrastructure components, and solution patterns for customer and AI Lab use cases.
• Assist in developing technical enablement materials, solution documentation, playbooks, and training content for internal sales and engineering teams.
• Help educate SHI teams on AI infrastructure trends, technologies, and best practices.
• Support opportunity qualification, solution scoping, technical proposal development, and responses to RFPs, RFIs, and customer technical inquiries.
• Assist account teams in identifying opportunities across AI, Data Center, Cloud, Network, Security, and Services solution areas.

Benefits

• Medical
• Vision
• Dental
• 401K
• Flexible spending

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree