Applied Value Engineer

Applied Value Engineer Overview

Celonis is seeking an Applied Value Engineer to join their team in London, United Kingdom. This role is pivotal in addressing business-critical challenges for clients by leveraging AI solutions tailored to their specific needs.

Key Responsibilities

• Engage with strategic global accounts to identify and address their operational challenges and develop tailored AI solutions.
• Conduct technical discovery to prototype and create advanced AI solutions that target specific industry pain points.
• Lead the execution of Proof-of-Value (PoV) projects, ensuring the delivery of secure and scalable AI systems integrated with enterprise data.
• Maintain ongoing technical and advisory support for strategic accounts to ensure projects meet value and adoption goals.
• Utilize domain expertise to create end-to-end industry-specific solutions and contribute to the development of reusable methodologies.

Qualifications

• Minimum of 2 years of experience in executive-facing presales and value engineering, with a focus on AI transformation.
• Proven track record in executing PoV projects, ROI/TCO modeling, and presenting innovative solutions to complex problems.
• Strong understanding of core business processes and industry landscapes, particularly in areas like supply chain and finance.
• Proficiency in Python, API design, SQL, and familiarity with ML/AI libraries such as PyTorch and TensorFlow.
• Experience with agentic AI systems, including orchestration and prompt engineering.
• Knowledge of model deployment and lifecycle management across cloud platforms like AWS and Azure.
• Understanding of cloud architectures, data governance, and compliance issues.
• Applied knowledge in optimization, statistical analysis, and forecasting is advantageous.
• Excellent presentation skills for engaging with both internal teams and external stakeholders, including executives.
• Fluent English with strong executive presence.
• A Master’s degree in computer science, engineering, mathematics, business engineering, or related fields is preferred.

Benefits

• Opportunity to work with a leader in Process Mining and AI-driven business operations.
• Ownership from day one with Restricted Stock Units (RSUs) and merit-based grants.
• Inclusive parental leave policy offering 24 weeks of fully paid leave for primary caregivers and 12 weeks for supporting caregivers.
• Unlimited paid time off (PTO) and a flexible hybrid work model.
• Access to continuous learning opportunities through mentorship and a dedicated learning platform.
• Health benefits including subsidized wellness memberships and mental health counseling.
• Paid time off for volunteering during annual Impact Days.
• Participation in initiatives promoting global inclusion and belonging.

Degree Requirement: Not Specified

Visa Sponsorship May be