Forward Deployment Engineer - United States

Cornerstone OnDemand
Baltimore, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Baltimore, United States of America

Tech stack

Java
API
Artificial Intelligence
Python
Machine Learning
Natural Language Processing
Recommender Systems
Systems Integration
Enterprise Software Applications
Large Language Models
Generative AI
Information Technology
Enterprise Integration

Job description

We are seeking an experienced Forward Deployed Engineer to serve as the critical bridge between Cornerstone's product engineering teams and our most strategic enterprise customers. As a FDE, you will drive successful deployments of AI-powered Workforce Agility products, and assist customer needs into product innovations.

In this role you will…

  • Assist with technical deployments and integrations of Cornerstone's AI-native Workforce Agility products at strategic enterprise accounts, ensuring high-impact, successful outcomes.

  • Work closely with customer engagements - owning solution architecture, implementation strategy, and long-term adoption planning.

  • Partner directly with customers to deeply understand their workforce challenges, then design and deliver tailored AI-driven solutions leveraging Generative AI and Agentic Frameworks.

  • Identify and prototype custom solutions - including scripts, APIs, and AI workflow extensions - that accelerate customer time-to-value.

  • Stay current with enterprise integration technologies, AI advancements, and industry trends to continuously elevate customer engagements.

Requirements

Bachelor's or Master's in Computer Science, Engineering, or a closely related field (or equivalent experience in senior enterprise technical roles).

  • 1+ years of hands-on experience in enterprise software deployment, systems integration, or solutions engineering - with strong proficiency in Python, Java, or equivalent.

  • 1-2 years of experience deploying or integrating products built on Generative AI, LLMs, or Agentic Frameworks in production enterprise environments.

  • Familiarity with AI/ML concepts (NLP, recommendation systems, LLMs) sufficient to implement AI-native solutions.

  • Outstanding problem-solving instincts - able to diagnose ambiguous customer environments quickly and drive toward solutions under pressure.

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