- 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
Job description provided by Cornerstone OnDemand.
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