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Forward Deployed Engineer

1 hour, 40 minutes ago
Anywhere
Full-time
Senior
Customer Success
Software Development
AWS Azure DevSecOps Docker GCP Kubernetes LLM Machine Learning Python
Apply Now
Unstructured

Unstructured

Unstructured transforms natural language data for AI by providing open source tools for easy preprocessing and connection to large language models.

IT Services
1-10
Founded 2022
$25M raised
View All Jobs 7

Description

  • Design and deliver secure, scalable post-sales implementations for commercial customers across AWS, GCP, and Azure.
  • Guide customers on architecture, integration, optimization, and tuning for AI/LLM and RAG use cases.
  • Create reference architectures, onboarding guides, and playbooks that improve time-to-value and adoption.
  • Run enablement sessions, whiteboarding workshops, and proofs of concept to demonstrate customer value.
  • Troubleshoot complex infrastructure and data pipeline issues to maintain stability, observability, and performance.
  • Feed customer insights back to Product and Engineering to influence the roadmap and enterprise capabilities.
  • Collaborate directly with enterprise customers as a trusted technical partner throughout the deployment lifecycle.
  • Support commercial customers from purchase through production and help them realize the full value of the platform.

Requirements

  • 5+ years of experience in post-sales engineering, solutions architecture, or technical consulting.
  • Deep experience with cloud-native architectures across AWS, Azure, and GCP.
  • Experience with containers such as Docker and Kubernetes, and infrastructure-as-code tools.
  • Strong hands-on Python skills for scripting, API integration, and automation.
  • Proven success leading enterprise-scale deployments and solving customer problems with technical precision.
  • Excellent communication skills for both engineering and business audiences.
  • Comfort working in ambiguous, fast-moving startup or high-growth environments.
  • Willingness to travel up to 20%.
  • Experience delivering or optimizing RAG pipelines, vector databases, or LLM-based applications is a bonus.
  • Knowledge of DevSecOps best practices and security/compliance frameworks such as SOC 2 and ISO 27001 is a bonus.
  • Familiarity with both pre-sales and post-sales solutioning across AI/ML workflows is a bonus.

Benefits

  • Competitive salary.
  • Full health benefits.
  • Equity package.
  • Parental leave.
  • Remote full-time work environment.
  • Opportunity to work on real customer impact with global companies.
  • Ownership and autonomy from day one.

Interested in this position?

Apply directly on the company website

Apply Now

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