Senior Applied Value Engineer

Overview

Senior Applied AI Engineer role working with strategic customers to understand their AI strategy and business challenges, and build solutions on the Celonis Process Intelligence platform combined with AI and ML technology partners.

What you'll do

• Understand customers' AI strategy and business-critical challenges, and translate customer requirements into innovative solutions.
• Act as Celonis product and domain expert to find the best problem-solution fit.
• Think out of the box and rapidly build creative prototypes in customer hackathons using cutting-edge AI technologies.
• Support customers in achieving real ROI from AI deployments at scale, enabling a shift from rule-based automation to autonomous AI agents empowered by the Celonis Process Intelligence Platform.
• Carry out end-to-end execution of business-critical Proof-of-Value projects, including architecture and delivery of secure, scalable LLM/agent systems with RAG, tools, and guardrails, integrated with enterprise data, identity, and compliance frameworks.
• Stay involved with projects until agreed value and adoption thresholds are reached.
• Specialize in domains (e.g. supply chain) and industries to scale knowledge across the organization.
• Demonstrate value to executives and ensure successful implementation, adoption and value realization.

What you'll need

• 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building ROI/TCO business cases and prototyping machine learning and generative AI solutions.
• Understanding of generative AI techniques such as RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) and data engineering tools and technologies.
• Strong presentation skills to internal and external stakeholders, including executives, in whiteboarding sessions or formal readouts and demos.
• Bachelor's Degree required.

Nice to have

• Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience.
• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with safety ensured through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Details

• Location: Bangalore, India.
• Hybrid work model balancing remote focus with office collaboration.