About this role
This role addresses the need to translate complex business challenges within strategic accounts into tangible, AI-driven operational improvements. The core objective is to leverage the Celonis Context Model to turn operational blind spots into clarity by enabling AI to understand enterprise processes. The Applied Value Engineer will function as a critical bridge between deep domain expertise, advanced AI solutioning, and executive-level business communication. This individual will be responsible for diagnosing customer pain points, architecting and prototyping bespoke AI solutions, and ensuring these solutions deliver measurable business impact.
The work involves executing technical discovery to build specialized AI solutions, including secure LLM/agent systems with RAG and necessary guardrails, while maintaining strong advisory involvement with key accounts until value realization is confirmed. Furthermore, the role requires leveraging industry knowledge to create reusable methodologies that accelerate the team's overall time-to-value. This position is ideal for someone who thrives at the intersection of strategic consulting, hands-on AI development, and executive presentation.
What you will do
- Translate domain expertise and customer requirements into precise project execution plans.
- Execute technical discovery to prototype and build tailored, state-of-the-art AI solutions targeting specific operational pain points.
- Drive the end-to-end execution of Proof-of-Value projects, delivering secure and scalable LLM/agent systems with necessary integrations.
- Ensure solutions incorporate necessary enterprise data, identity, and compliance frameworks.
- Maintain active technical and advisory involvement with strategic accounts to ensure project success until agreed-upon value is achieved.
- Develop industry-specific E2E solutions and codify the work into reusable methodologies.
What you need
- Demonstrated experience in Executive-Facing Presales and Value Engineering, including accountability for Proof-of-Value execution and ROI/TCO modeling.
- Solid knowledge of core business processes and industry landscapes, such as supply chain or finance, with the ability to connect operational bottlenecks to strategic AI solutions.
- Proficiency in Python, API design, SQL, and data integration techniques.
- Hands-on experience designing and implementing agentic AI setups, including LLM orchestration, tool use, RAG, and prompt engineering.
- Experience with production ML/LLMOps, including model deployment, monitoring, and lifecycle management across cloud services like AWS Bedrock or Azure AI.
- Understanding of cloud reference architectures, data governance, privacy, and compliance standards.
- Strong presentation skills required for communicating technical concepts and business impact to C-suite executives.
Nice to have
- Fluent in Dutch
Benefits
- Restricted Stock Units (RSUs) and merit-based refresh grants
- Inclusive parental leave policy (24 weeks for primary carers, 12 weeks for supporting carers)
- Unlimited PTO (in applicable regions)
- Generous PTO globally
- Flexible hybrid work model
Skills and tech stack
Questions candidates ask
What is the remote work policy?
The company offers a flexible hybrid work model that balances remote focus with vibrant office collaboration.
What is the compensation structure?
The posting does not specify the salary for this role.
What is the primary tech stack used?
The required technical skills include Python, SQL, various ML/AI libraries like PyTorch and TensorFlow, and cloud platforms such as AWS Bedrock or Azure AI.
What kind of team is this role part of?
The role is part of a team focused on industrializing Enterprise AI through the Celonis Context Model.