Jobs at Softchoice

Supports quoting and order management for assigned accounts, including quote preparation, order processing, product information, tracking, technical configuration validation, reporting, promotions, partner registration, and identifying upsell opportunities. Builds knowledge of customer accounts, OEM products, supply sources, and internal systems while mentoring and onboarding new sales operations employees. Collaborates with client managers, sales engineers, service sales representatives, customers, and partners.

Sell, scope, and package AI consulting engagements across enterprise AI GTM categories. Define assessments, workshops, pilots, and multi-phase programs; develop proposals, justify AI infrastructure, drive adoption of workforce AI and coding assistant services; collaborate with sales, architects, and delivery to ensure clean handoffs and measurable outcomes.

Work on consulting teams to solve client business problems by developing analytical and AI-enabled solutions, creating documentation and visualizations, presenting findings, supporting project plans, and collaborating with cross-functional teams. Use SQL, Excel, Power BI/Tableau, and Microsoft PowerPoint to deliver insights and enable account teams.

Design, build, and prototype data platforms and streaming applications (Kafka, Spark, Flink). Create data schemas, integrate IT Ops tools (LogicMonitor, ServiceNow, BigPanda), configure platforms for performance/security, mentor peers, support pre-sales, and lead technical delivery across cloud environments.

Quota-carrying sales role focused on generating, qualifying, and closing AI opportunities across an assigned region. Partner with field teams and ecosystem partners to build pipeline, deliver executive-quality pitches and proposals, drive multi-phase AI engagements (products, infrastructure, and services), and maintain CRM, forecasting, and GTM operational discipline.

Lead and coordinate large, client-facing infrastructure programs across multi-site deployments. Manage WBS, schedules, risks, finances, resources, stakeholder communications, quality assurance, and profitability while driving delivery across cross-functional teams.

Sell coding-assistant and AI-native engineering solutions and co-sell NVIDIA developer-platform optimizations. Engage enterprise development leadership, design pilots and benchmarking services, scope consulting engagements, and collaborate within regional PODs to drive AI-accelerated application performance and developer productivity.

Serve as the regional technical pre-sales architect for enterprise AI solutions: design end-to-end AI architectures, lead discovery and POC engagements with the ATC, validate NVIDIA and hyperscaler integrations, produce reference architectures/BoMs/sizing, and ensure clean handoffs to delivery. Operate in a revenue-focused co-selling model alongside sales and partner teams to win and scope AI deals at enterprise scale.

Analyst supporting a marketing engineering team by translating marketing needs into automated workflows, integrations, internal applications, and AI-enabled solutions. Responsibilities include intake and prioritization, process analysis, workflow design, low-code development, collaboration with engineers and data scientists, testing variable AI outputs, user acceptance testing, documentation, enablement, and impact measurement.

Leads hands-on data center infrastructure projects for enterprise customers, including installation and integration of VMware, storage, networking, hardware, software, and cloud technologies. Serves as a trusted client advisor, manages project engagements, collaborates across teams, works under tight schedules, and mentors less experienced personnel. The role involves complex data center deployments, customer relationship management, and up to 75% travel.

Leads architecture, provisioning, automation, performance validation, and day-two operations for large-scale NVIDIA GPU clusters and AI compute environments. Designs repeatable bare-metal and Kubernetes-based infrastructure using schedulers, monitoring, networking, and infrastructure-as-code. Serves as the technical authority for DGX, HGX, MGX, NVL72, and Cisco AI POD deployments, while supporting pre-sales discovery, bills of materials, solution estimates, client workshops, and executive-level communication.

Architects and deploys high-performance NVIDIA InfiniBand and Spectrum-X Ethernet fabrics for AI infrastructure. Responsibilities include fabric topology, routing, congestion control, RoCEv2, DPU offload, telemetry, automation, cabling, optical validation, performance testing, and infrastructure-as-code. Leads client delivery, pre-sales scoping, bills of materials, technical workshops, and integration with enterprise networks. The role requires translating complex network architectures into scalable deployments and commercial outcomes.

Leads the design, implementation, integration, migration, and operation of enterprise Zero Trust security solutions for a DoD client. Evaluates technologies, secures networks and systems, integrates EDR, SIEM/SOAR, access control, and data protection capabilities, and ensures compliance with DoD requirements and industry standards. Researches security enhancements, protects against advanced threats, collaborates with infrastructure teams, analyzes security systems, and briefs client leadership. The role requires an active Secret clearance, DoD 8570 IAT Level III certification, and substantial DoD cybersecurity experience.

Designs, implements, and assesses cybersecurity systems for a DoD Zero Trust program. Responsibilities include security architecture, vulnerability and threat assessments, risk mitigation, security requirements, IA integration, compliance, and system accreditation support across multiple operational environments. The role also supports installation, migration, and configuration at multiple client locations and requires collaboration with architects, developers, and stakeholders.

Supports the financial and operational health of project engagements by forecasting costs, revenue, timelines, budgets, utilization, and burn rates. Performs audits and variance analysis, supports invoicing and project adjustments, maintains financial documentation, and prepares reports and presentations. Monitors financial risks, escalates issues, and provides data-driven insights while collaborating with Sales, Delivery, Finance, and Services Operations stakeholders.

Evaluate and develop compute technologies for the Advanced Technology Center. Design and build compute environments for sandboxes, proofs of concept, and lab-as-a-service engagements. Create architectural diagrams, access guides, test plans, use cases, and high- and low-level designs. Collaborate with customers, partners, sales, and internal teams; support business development and marketing; foster OEM partnerships; and maintain required industry certifications.

Coordinates IT infrastructure projects for external customers, tracking documentation, timelines, budgets, risks, issues, scope changes, and project deliverables. Supports projects throughout initiation, planning, execution, implementation, and closure. Maintains stakeholder relationships, facilitates meetings, follows up on action items, prepares status reports, monitors financial performance, and ensures project requirements, risks, and resolutions are documented and communicated.

Designs and validates data solutions, database architectures, integrations, data models, pipelines, and process flows. Collaborates with analysts, engineers, architects, data scientists, and business stakeholders to solve complex problems. Develops analytic plans, produces data visualizations and executive reports, maintains data catalogs and quality standards, ensures privacy and regulatory compliance, and mentors teams on data maturity and process improvement.

Develop AI-native engineering tools, workflows, training, documentation, proofs of concept, and reference architectures across the enterprise. Research and evaluate emerging AI platforms, integrate approved tools into engineering processes, and drive adoption through presentations, tutorials, videos, office hours, and stakeholder communications. The role partners with engineering teams and senior leaders to improve developer velocity, quality, and experience while establishing standards within an IT Software Engineering Center of Excellence.

Leads enterprise AI-native engineering initiatives by researching and prototyping AI tools, designing AI-enhanced workflows, creating reference architectures, and developing proofs of concept. Owns AI training and enablement, including documentation, presentations, tutorials, demonstrations, and coaching. Evaluates tooling, supports adoption, communicates technical changes to leadership, hosts engineering office hours, and establishes scalable standards across the organization.