Rescale

High Performance Computing Built for the Cloud

Solutions Architect, Data & AI

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 201-500Since 2011H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

164 days ago

Salary

$120K - $170K / year

3 yrs expEnglish

Job Description

• Partner with account teams to engage strategic customers and uncover workflows and technical needs across simulation, data, and AI • Design end-to-end solutions leveraging Rescale Data Intelligence and Rescale AI Physics to enable next-generation engineering workflows • Set strategic vision by aligning Data Intelligence and AI Physics capabilities with customer priorities in simulation, AI, and digital engineering • Build trusted relationships with technical leaders and stakeholders to influence adoption strategies and long-term technology roadmaps • Capture and document customer requirements, workflow gaps, and adoption blockers • Provide structured field feedback to Product and Engineering to guide roadmap prioritization and evolution of agentic engineering capabilities • Collaborate on iterative testing cycles to validate new features and capabilities before GA release • Develop technical collateral including solution briefs, integration guides, and best practices for AI Physics and agentic engineering workflows • Support internal enablement by contributing to training materials and field readiness resources for Data & AI • Work with Marketing, Sales, and Customer Success to accelerate adoption and drive measurable impact of Data Intelligence and AI Physics solutions • Operate as a strategic overlay on top of Rescale’s core team, providing Data & AI guidance to elevate customer engagements and ensure successful adoption

Job Requirements

  • 3–6 years in solutions architecture, customer success, technical consulting, or product-facing engineering
  • Track record of working effectively in fast-moving, experimental environments (iteration and adaptability)
  • Familiarity with simulation workflows, engineering data management, or AI/ML integration
  • Understanding of AI Physics models and agentic engineering workflows
  • Ability to translate complex technical workflows into clear customer value and strategic implementation plans
  • Skilled in conducting technical and executive discovery sessions and building trust with engineering leaders
  • Strong communicator able to articulate strategy, technical value, and AI-driven innovation across audiences
  • Business mindset to drive customer adoption, inform product direction, and influence commercial outcomes
  • Experience running pilots or early-access programs to validate product-market fit and drive adoption
  • Strategic thinker with a bias for action and a fail-fast, learn-fast mindset
  • Passionate about innovation and AI-driven engineering
  • Domain experience in automotive, aerospace, energy, manufacturing, life sciences, or semiconductors (nice-to-have)
  • Willingness/ability to work in the United States and complete a background check

Benefits

  • Offers Equity

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