Scale AINew York, NYPrincipal Solutions Engineer, Enterprise
Leads technical strategy for complex enterprise AI deals, architects end-to-end solutions, advises executives on AI/LLM adoption, and influences product roadmap. Requires deep customer-facing engineering experience, systems architecture across cloud/data/AI, and programming skills like Python/Java.
$180k – $225k/yr
HybridSales Engineering
About the job
Responsibilities
- Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win”
- Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
- Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
- Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
- Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
- Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
- Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development
- Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
- Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function
Requirements
- Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
- Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
- Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
- Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
- Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
- Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
- Exceptional communication skills, with the ability to translate between business, product, and technical audiences
- High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments
Nice to Haves
- Deep experience with Generative AI / LLM applications in enterprise environments
- Background in forward-deployed engineering or building production-grade ML systems
- Experience in regulated industries such as financial services, insurance, or healthcare
Skills
PythonJavaCloudAI/MLLLMsGenerative AISystems ArchitectureData Systems
