Forward Deployment Engineer

Forward Deployment Engineer (FDE)

• Cornerstone OnDemand is looking for a
• Forward Deployment Engineer (FDE) who will lead the design, development, and
• deployment of AI-powered solutions using AWS AI services, Bedrock, and
• Generative AI technologies. You will be responsible for building intelligent
• automation solutions and creating custom Gen AI applications serving as
• critical bridge between Cornerstone’s product engineering teams and our
• strategic enterprise customer teams to ensure seamless integration and delivery
• of Agentic applications. As an 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.
• Participate in technical discovery sessions with client stakeholders
• to understand business requirements and integration constraints.
• Support on-site and remote deployment of AI solutions within client
• environments, managing configuration, data integration, and go-live activities.
• Deliver proof-of-concept projects to evaluate AI technologies and
• demonstrate business value to client teams.
• Provide technical enablement and knowledge transfer sessions to client
• engineering teams as needed.
• You have what it takes if you have…
• Bachelor’s or Master’s in Computer
• Science, Engineering, or a closely related field (or equivalent experience in
• senior enterprise technical roles).
• 2+ 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, vector databases, semantic search)
• sufficient to implement AI-native solutions.
• Design and develop scalable APIs and microservices for AI model
• deployment and MCP integration.
• Outstanding problem-solving
• instincts — able to diagnose ambiguous customer environments quickly and drive
• toward solutions under pressure.
• #LI-Onsite