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Pre-Sales Solutions Architect - Artificial Intelligence

United States, New Jersey · Job Posted May 05, 2026
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Job Description

This strategic technical role bridges the gap between our sales team and our AI Experts (AI Architecture & Data Science teams). As a Pre-Sales Solutions Architect, you will combine deep technical expertise in enterprise AI platforms and cloud architecture with excellent client-facing skills. Your main focus will be on helping potential clients understand, envision, and adopt the right AI solutions to fit their unique business needs, acting as their trusted technical advisor throughout the sales process. Crucially, you will act as the translator between technical AI architecture and executive strategy — taking complex platform and solution concepts and turning them into compelling commercial value propositions for a C-suite audience. This is a client-facing role that requires periodic travel and on-site presence.

Job Responsibility

  • Partner with clients and internal account teams to uncover AI priorities, business challenges, and strategic goals
  • Design and present enterprise AI solution architectures tailored to client needs
  • Own the technical workstream of the AI sales cycle from initial discovery through to close
  • Develop a strong command of SDG’s AI portfolio and apply that knowledge to identify expansion opportunities
  • Stay current with the fast-moving AI and GenAI landscape
  • Represent SDG at AI industry events, hyperscaler partner conferences, and client briefings

Requirements

  • 7+ years of experience in AI/ML engineering, cloud architecture, technical consulting, or related fields, with a background that demonstrates hands-on delivery and technical depth
  • Experience in technical pre-sales, solution architecture, or client-facing advisory roles is preferred but not mandatory
  • Solid understanding of enterprise AI solution design — including AI platform selection, cloud-based infrastructure, and GenAI/agentic application patterns
  • Hands-on familiarity with Snowflake, Databricks, and at least one hyperscaler AI platform is required: Azure AI Foundry, AWS SageMaker, or GCP Vertex AI
  • Broader hyperscaler exposure (Azure, AWS, GCP) is strongly preferred
  • Demonstrated ability to build trust and engage confidently with both technical teams and C-level executives
  • Working knowledge of LLMs, Generative AI applications, and agentic AI patterns in enterprise contexts
  • Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field

Nice to have

  • Experience creating solution blueprints, architectural frameworks, or reusable technology accelerators that can be adapted across client engagements
  • Cloud or AI architecture certifications are a strong plus
  • Experience working effectively across distributed teams and multiple geographies

What we offer

  • Full-time employment in a growing high-tech industry with a meritocratic culture
  • Competitive base salary, commission structure, and a 401(k) retirement plan with an employer match
  • Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage
  • 3+ weeks of paid vacation, a flexible holiday schedule, and a results-oriented culture
  • A hybrid work model anchored to our U.S. offices, with periodic travel and on-site client engagement expected
  • A welcoming, collaborative, and inclusive culture
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