Senior Forward Deployment Engineer
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 9, 2026. Cornerstone OnDemand scores B on the Alion truth index.
Senior Forward Deployment Engineer 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. Conduct regular client check-ins, demos, and progress reviews - proactively communicating risks, blockers, and milestones.
Drive technical decisions by evaluating frameworks, tools, and approaches with a bias for simplicity and long-term maintainability. Identify recurring problems and invest in automation, tooling, or process improvements that benefit the broader team. Participate in Agile ceremonies and contribute to both internal engineering discussions and external client-facing presentations.
You've got 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). 3+ 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.
Ownership mindset - you see things through from start to finish without waiting to be told what to do next. Excellent communication skills - ability to articulate technical trade-offs to both engineers and non-technical stakeholders with clarity and confidence. Demonstrated ability to lead by influence - driving alignment across teams, mentoring peers, and raising engineering standards.
Strong organizational skills with the ability to track, prioritize, and deliver across multiple concurrent workstreams independently. A bias for action balanced with sound judgment - you move fast but don't cut corners. Comfort with ambiguity and a track record of turning vague requirements into concrete, deliverable plans.
Outstanding problem-solving instincts - able to diagnose ambiguous customer environments quickly and drive toward solutions under pressure. #LI-Onsite