TwinKnowledge Logo

TwinKnowledge

Solutions Engineer

Reposted An Hour Ago
Be an Early Applicant
Hybrid
New York, NY, United States
90-130 Annually
Mid level
Hybrid
New York, NY, United States
90-130 Annually
Mid level
Own client pilots for an agentic AI platform that reviews construction documents. Scope use cases, configure AI workflows, present results to reviewers, design solutions for product gaps, and translate client needs into product requirements. The role requires experience in architecture, structural, mechanical, or electrical engineering, owner/developer organizations, or AECO startups, along with frequent use of AI tools and workflow-building experience.
The summary above was generated by AI

AI Solutions Engineer (Founding Role) | TwinKnowledge
[NYC / Hybrid] · [$90k - $130k + equity]

TwinKnowledge is building frontier agentic AI systems that perform critical QA/QC on construction documents: drawing sets, specifications, shop drawings, and submittals. We're a Series A team backed by Camber Creek and Greatwave Ventures, and we're piloting with global contractors, developers, and public owners such as the Port Authority and Marriott International across the US, South America, Europe, the Middle East, and Asia. You'll be supporting projects on skylines and transit maps worldwide

You'll be our first AI Solutions Engineer, the person who turns a client's hardest review problem into a working AI workflow.

What you'll do

  • Own the success of pilots with major firms and owners, from scoping use cases to configuring agent workflows to putting results in front of the reviewers who'll judge them.
  • Design solutions from our current and near-future product for requests that don't fit neatly into either.
  • Act as the client's voice inside our product team. You'll translate what a senior engineer actually needs into something our engineers can build.
  • Keep pace with applied AI and help clients use it well.

Who you are
You've done the work our product reviews, and you've seen what AI can do with it. You have at least one of the following:

  • 2–5 years as an architect; a structural, mechanical, or electrical engineer; or on the owner/developer side
  • 2+ years at an AECO startup, any stage

You also use AI tools every day. If you've built your own workflows, Skills, or tools, show us. That's the clearest signal you'll thrive here.

Why this role
You'll define and own your role, not inherit it. You'll work directly with the product team and with clients whose projects are on skylines and transit maps worldwide.

Apply: Email [email protected] with a short note + anything you've built with AI · twinknowledge.com · https://www.linkedin.com/in/luke-reeve-65022b153/

HQ

TwinKnowledge New York, New York, USA Office

575 Lexington Ave, New York, New York, United States, 10022

Similar Jobs

6 Hours Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
80K-93K Annually
Entry level
80K-93K Annually
Entry level
Consumer Web • Information Technology • Sales • Software
Partners with Account Executives and Account Managers to drive revenue through technical discovery, tailored demonstrations, solution architecture, proof-of-concepts, and trial management. Translates customer needs into commercially valuable SaaS solutions, removes technical objections, accelerates deal closure, documents integrations, collaborates with Product, Engineering, and Implementation teams, and shares customer feedback to improve the product.
Top Skills: APIsJavaScriptSaas Integration
2 Days Ago
In-Office
New York City, NY, USA
135K-200K Annually
Mid level
135K-200K Annually
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Real Estate
Own 10–15+ concurrent partner integrations from scoping through launch and ongoing stability. Serve as the technical contact for external engineering teams, evaluate APIs, shape integration architecture, manage sandboxes and testing, document reusable patterns, prioritize deadlines, and resolve blockers. Partner with internal Engineering to improve APIs, tooling, documentation, certification, and self-service vendor onboarding.
Top Skills: APIsPython
3 Days Ago
In-Office
New York, NY, USA
133K-183K Annually
Expert/Leader
133K-183K Annually
Expert/Leader
Fintech • Information Technology • Payments • Sharing Economy • Financial Services • Cryptocurrency
Develop and deploy AI capabilities across enterprise ERP platforms including Workday and SAP Ariba. Build intelligent agents, chatbots, automation, integrations, and custom GenAI/LLM solutions. Establish PaaS environments, cloud services, deployment pipelines, security, governance, and engineering processes. Lead AI projects from concept through production, evaluate vendor versus custom solutions, support technology roadmaps, and promote AI literacy. Provide production support and training while aligning solutions with business needs and measurable ROI.
Top Skills: Ai AgentsAWSAzureChatbotsCi/CdCloud ComputingData PipelinesDevOpsGenerative AiGoogle Cloud Platform (Gcp)Infrastructure As A Service (Iaas)Large Language Models (Llms)Machine LearningMlopsOauthPlatform As A Service (Paas)PythonRestful ApisSAMLSap AribaSap BtpSQLWebhooksWorkdayWorkday Extend

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account