Applied Value Engineer

NextGenEnergyJobs; Milano; Ibrido; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

NextGenEnergyJobs seeks an Applied Value Engineer to solve mission-critical problems for our global customers. You will diagnose strategy and operational challenges to build tailored, domain-specific use cases and architect AI solutions on the Celonis platform, demonstrating their business impact to executives.

You will prototype state-of-the-art AI solutions, ensure adoption and value realization across key accounts, and present outcomes to C-suite stakeholders with strong executive presence

Competenze

• 2+ years in executive-facing presales and value engineering.
• Domain knowledge across supply chain and finance.
• Python, API design, SQL, data integration, and ML libraries.
• Experience with agentic AI systems and tooling.
• Production ML/LLMOps across cloud services (AWS Bedrock, Azure AI, GCP).
• AI architecture, security, governance, privacy considerations.
• Applied optimization and forecasting knowledge is a plus.
• Strong executive presentations and English fluency.

Mansioni

• Diagnose strategic challenges and build tailored, domain-specific use cases.
• Architect and prototype AI solutions on the Celonis platform.
• Demonstrate business impact to C-suite executives.
• Ensure successful implementation, adoption, and value realization.

Conoscenze

Presales

Value Engineering

ROI Modeling

Executive Communication

Python

ML Libraries

LLMOps

Cloud Platforms

Statistics

Optimization

Formazione

Master's Degree in CS/Engineering/Math

Descrizione del lavoro

As an Applied Value Engineer you push the envelope in solving mission-critical problems for our customers.

Key Responsibilities

As an Applied Value Engineer, you are pushing the envelope, solving business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases. You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization.

Requirements

• Executive-Facing Presales & Value Engineering (2+ years): Demonstrated experience supporting the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems.
• Domain & Industry Expertise: Solid knowledge of core business processes and industry landscapes (e.g., supply chain, finance). Ability to speak the language of business leaders and connect operational bottlenecks to strategic AI solutions.
• Software/Data Engineering: Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers).
• Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows.
• Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI).
• AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance.
• Math & Operations Research: Applied knowledge of linear/nonlinear optimization, statistical analysis, reinforcement learning, and forecasting is a plus.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. Flawless English and native-level local language with exceptional executive presence.
• Degree: Master’s Degree in computer science, engineering, mathematics, business engineering, business information or related fields , or equivalent work experience preferred.