Senior AI Solution Engineer

Posted 28ds ago

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Job Description

Senior Forward Deployed Engineer at Formant, focused on integrating AI in complex manufacturing environments to enhance alarm management and operational efficiency.

Responsibilities:

  • Lead onsite discovery bootcamps with enterprise customers — living in their environment, learning their operations, and surfacing requirements that no requirements doc could capture
  • Define measurable success metrics and establish clear checkpoints across POC, Pilot, and production deployment
  • Translate ambiguous operational problems into concrete technical architectures and solution designs
  • Build genuine buy-in with customer stakeholders at every level — from operators on the floor to engineering leads to executive sponsors
  • Own end-to-end technical delivery: sales engineering, solution architecture, rapid prototyping, integration with production environments, and full deployment
  • Build and iterate on LLM-powered workflows, AI-assisted investigation pipelines, and automation tooling that operates under real-world constraints (latency, connectivity, hardware)
  • Integrate deeply with customer systems, APIs, and existing operational infrastructure
  • Produce reusable blueprints and integration patterns that accelerate all future deployments
  • Serve as the primary technical relationship owner for a portfolio of enterprise accounts
  • Partner with Account Directors to connect technical outcomes to business value and renewal health
  • Lead executive-level conversations with confidence — translating technical progress into ROI language
  • Identify expansion opportunities and surface the product gaps that, if closed, unlock the next stage of the engagement
  • Act as the feedback loop between the field and Formant's product and engineering teams
  • Identify patterns across engagements and contribute to the evolving playbook, integration library, and deployment frameworks

Requirements:

  • 5+ years in a customer-facing technical role — Forward Deployed Engineering, Solutions Architecture, Implementation Engineering, or equivalent field engineering experience
  • Demonstrated ability to own complex enterprise engagements end-to-end, from discovery through production
  • Experience with LLMs, AI workflows, or agentic systems in production environments
  • Strong full-stack engineering skills — Python and/or TypeScript required; comfortable across the stack when needed
  • Proven track record leading technical conversations with both engineering teams and senior business stakeholders
  • Comfortable with significant travel for customer engagements (40–50% of the time spent in bootcamps onsite with customers)