Forward Deployed Engineer

Primis

San Francisco (CA)

Remote

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Primis is seeking a Forward Deployed Engineer to join its Solutions Engineering team, acting as a trusted technical advisor to enterprise customers in production AI settings.

You will partner with ML teams, lead technical discussions, and guide GenAI/ML best practices, while demoing the product and shaping the roadmap with engineering and product teams. Remote role with NYC or SF offices, strong cloud and Python skills required.

Qualifications

  • Background as a Data Scientist, ML Engineer, or Engineer working with ML or GenAI applications in production.
  • Hands-on experience with cloud environments (AWS, Azure, or GCP).
  • Familiarity with ML frameworks and LLM/agentic tooling.
  • Solid understanding of the ML lifecycle - feature generation, training, deployment, and real-time scoring.
  • Proficiency in Python or another programming language.
  • Strong communicator who can make complex technical concepts accessible to any audience.
  • Previous customer-facing experience is a strong plus.

Responsibilities

  • Partner with enterprise ML and GenAI teams to help them understand and improve how their AI performs in production.
  • Lead technical discussions with data scientists and engineers, then shift gears to business conversations with directors and executives.
  • Advise on GenAI and ML best practices, model evaluation, and production deployment.
  • Demo the product to both technical and non-technical audiences.
  • Feed customer insights back into the product roadmap by working closely with engineering and product teams.
  • Identify and drive expansion opportunities within existing accounts.

Skills

ML in production
Python
Cloud platforms
Communication

Tools

AWS
Azure
GCP

Job description

Forward Deployed Engineer | AI Startup | NYC

Primis is partnered with a well-funded AI startup building an observability and evaluation platform for AI applications in production.

They're Series C, backed by strong institutional investors, with significant funding behind them and a growing customer base of Fortune 500 enterprises.

They're hiring a Forward Deployed Engineer to join a growing Solutions Engineering team and act as a trusted technical advisor to enterprise customers.

What you'll work on:
  • Partner with enterprise ML and GenAI teams to help them understand and improve how their AI performs in production
  • Lead technical discussions with data scientists and engineers, then shift gears to business conversations with directors and executives
  • Advise on GenAI and ML best practices, model evaluation, and production deployment
  • Demo the product to both technical and non-technical audiences
  • Feed customer insights back into the product roadmap by working closely with engineering and product teams
  • Identify and drive expansion opportunities within existing accounts
What we're looking for:
  • Background as a Data Scientist, ML Engineer, or Engineer working with ML or GenAI applications in produ ction
  • Hands-on experience with cloud environments (AWS, Azure, or GCP)
  • Familiarity with ML frameworks and LLM/agentic tooling
  • Solid understanding of the ML lifecycle - feature generation, training, deployment, and real-time scoring
  • Proficiency in Python or another programming language
  • Strong communicator who can make complex technical concepts accessible to any audience
  • Previous customer-facing experience (Solutions Architect, Sales Engineer, CSE, Consultant) is a strong plus
  • Remote with offices in NYC or SF

Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply - don't worry if you don't tick every single box. We'd still love to hear from you. We encourage underrepresented talent to apply to all our roles and support accessibility needs.

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