Solutions Engineer

7SG, Inc. helps Fortune 500 enterprises in various sectors move AI from pilot to production using their Hybrid AI Platform, Sherpa. The Solutions Engineer will engage in both pre-sales technical engagement and technical enablement, working closely with the sales team to understand customer needs and promote the company's AI solutions.

Responsibilities:

• You are the technical face of 7SG in every customer interaction that goes beyond qualification
• When the AE brings an opportunity forward, you step in to understand the customer's AI deployment landscape, map their enterprise technology stack, and determine how to map to the 7SG Reference Architecture applies
• You use this intelligence to support the AE with qualification accuracy and account timing
• This means understanding AI deployment and scaling approaches across a variety of environments: Private NVIDIA DGX and HGX clusters, AWS (Bedrock, SageMaker), Azure (Foundry, CoPilot Studio), GCP (Vertex AI), Salesforce Agentforce, Agent Bricks, and emerging agentic platforms
• You are not just a deal-support resource
• You are an outbound technical voice for 7SG
• This means creating content, speaking at events, publishing technical posts, and building relationships in the developer and AI infrastructure community
• Evangelism and developer advocacy are part of the job --- not a side project

Requirements:

• 1-3 years in a solutions engineering, sales engineering, technical consulting, or developer advocacy role at a B2B technology company
• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline
• Holds or is actively pursuing at least one technical certification in a major AI or cloud platform (AWS, Azure, GCP, NVIDIA)
• Has built and delivered technical demos or proof-of-concept applications for customers --- can walk you through what they built, why, and what the customer did with it
• Familiarity with at least one major enterprise data platform (Snowflake, Databricks, AWS data services, Azure data services) and can speak credibly to how data flows into AI workloads
• Has used or is proficient with AI-assisted development tools (Cursor, GitHub Copilot, or similar) and can build working applications with them
• Has worked in or adjacent to enterprise technology --- AI, cloud, data infrastructure, or professional services
• Experience with or exposure to enterprise security, identity, or GRC platforms is preferred but not required