Forward Deployment Engineer

Luna Bearings; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Cornerstone OnDemand is seeking a Forward Deployment Engineer (FDE) to design and deploy AI-powered solutions using AWS AI services, Bedrock, and Generative AI. You will bridge product engineering and enterprise customer teams to ensure seamless integration of Agentic applications.

Responsibilities include leading deployments, architecture, and adoption planning, prototyping AI-driven solutions, and delivering PoCs that demonstrate business value in customer environments.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or closely related field.
• 2+ years of hands-on enterprise software deployment, systems integration, or solutions engineering.
• Experience deploying or integrating products built on Generative AI, LLMs, or Agentic Frameworks.

Responsibilities

• Assist with technical deployments and integrations of AI-native Workforce Agility products at strategic enterprise accounts.
• Work with customer engagements—own solution architecture and deployment strategy.
• Design and deliver tailored AI-driven solutions leveraging Generative AI and Agentic Frameworks.
• Prototype custom solutions including scripts, APIs, and AI workflow extensions.
• Stay current with enterprise integration technologies and AI trends.

Skills

Python

Java

APIs

Microservices

Generative AI

LLMs

NLP

Problem solving

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

AWS Bedrock

Job description

Forward Deployment Engineer (FDE)

Cornerstone OnDemand is looking for aForward Deployment Engineer (FDE) who will lead the design, development, anddeployment of AI-powered solutions using AWS AI services, Bedrock, andGenerative AI technologies. You will be responsible for building intelligentautomation solutions and creating custom Gen AI applications serving ascritical bridge between Cornerstone's product engineering teams and ourstrategic enterprise customer teams to ensure seamless integration and deliveryof Agentic applications. As an FDE, you will drive successful deployments ofAI-powered Workforce Agility products and assist customer needs intoproduct innovations.

In this role you will...

• Assist with technical deploymentsand integrations of Cornerstone's AI-native Workforce Agility products atstrategic enterprise accounts, ensuring high-impact, successful outcomes.
• Work closely with customerengagements - owning solution architecture, implementation strategy, andlong-term adoption planning.
• Partner directly with customers todeeply understand their workforce challenges, then design and deliver tailoredAI-driven solutions leveraging Generative AI and Agentic Frameworks.
• Identify and prototype customsolutions - including scripts, APIs, andAI workflow extensions - thataccelerate customer time-to-value.
• Stay current with enterpriseintegration technologies, AI advancements, and industry trends to continuouslyelevate customer engagements.
• Participate in technical discovery sessions with client stakeholdersto understand business requirements and integration constraints.
• Support on-site and remote deployment of AI solutions within clientenvironments, managing configuration, data integration, and go-live activities.
• Deliver proof-of-concept projects to evaluate AI technologies anddemonstrate business value to client teams.
• Provide technical enablement and knowledge transfer sessions to clientengineering teams as needed.

You have what it takes if you have...

• Bachelor's or Master's in ComputerScience, Engineering, or a closely related field (or equivalent experience insenior enterprise technical roles).
• 2+ years of hands-on experience inenterprise software deployment, systems integration, or solutions engineering -with strong proficiency in Python, Java, or equivalent.
• 1-2 years of experience deploying orintegrating products built on Generative AI, LLMs, or Agentic Frameworks inproduction 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 modeldeployment and MCP integration.
• Outstanding problem-solvinginstincts - able to diagnose ambiguous customer environments quickly and drivetoward solutions under pressure.