Senior Applied Value Engineer - CMT/CPGR

Celonis
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Presentation skills","Stakeholder communication","Problem-solving","Ownership","Value realization"]

Partner with strategic customers to identify AI-driven business challenges and translate them into high-impact Celonis Process Intelligence solutions. Prototype and run hackathons using cutting-edge AI from Microsoft, OpenAI, and Databricks, delivering Proof-of-Value projects with secure, scalable LLM/agent systems using RAG and guardrails. Drive successful implementation, adoption, and value realization while specializing in key domains such as supply chain.

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Celonis
Celonis
8 hours ago

Senior Applied Value Engineer - CMT/CPGR

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Partner with strategic customers to identify AI-driven business challenges and translate them into high-impact Celonis Process Intelligence solutions. Prototype and run hackathons using cutting-edge AI from Microsoft, OpenAI, and Databricks, delivering Proof-of-Value projects with secure, scalable LLM/agent systems using RAG and guardrails. Drive successful implementation, adoption, and value realization while specializing in key domains such as supply chain.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Understand customers’ AI strategy and business-critical challenges to find the best problem-solution fit and translate requirements into solutions.
  • •Rapidly prototype and demonstrate value through hackathons, leveraging cutting-edge AI technologies.
  • •Support agentic process transformation by enabling real ROI from AI deployments at scale using autonomous AI agents with the Celonis Process Intelligence Platform.
  • •Execute end-to-end Proof-of-Value projects, including architecture and building secure, scalable LLM/agent systems with RAG, tools, and guardrails and integration with enterprise frameworks.
  • •Ensure successful project outcomes by staying involved until agreed value and adoption thresholds are reached, and specialize in key domains/industries to scale knowledge.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityPaid LeaveParental LeaveLearning BudgetGym Membership

Key Requirements

  • •6+ years leading technical pre-sales, including defining AI roadmaps and building ROI/TCO business cases and prototypes for ML/generative AI solutions.
  • •Strong understanding of generative AI techniques such as RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning.
  • •Ability to understand business processes across sectors (e.g., supply chain or finance) and translate needs into specific AI use cases.
  • •Good knowledge of Python and common ML libraries (e.g., LangChain, pandas, pydantic, sklearn, PyTorch) plus data engineering tools.
  • •Bachelor’s degree required (Masters in CS/engineering/math or related fields preferred).
Experience:6+ yearsEnterprise SaaSAIMachine learningGenerative AIProcess miningProcess intelligence
Education:Bachelor's in Computer Science, Engineering, Mathematics or related fields
Skills:Presentation skillsStakeholder communicationProblem-solvingOwnershipValue realization
Languages:English
Tech Stack:PythonLangChainPandasPydanticScikit-learnSklearnPyTorchMicrosoftOpenAIDatabricksRAGFew-shot learningPrompt engineeringMulti-agent orchestrationMultimodal understandingFine-tuningLLMAgentic systemsFunction callingLlamaIndex

Company Brief

Celonis
Provides cloud-based process mining and execution management software that helps organizations visualize, analyze, and optimize business processes to improve efficiency, reduce costs, and accelerate operational transformation across enterprise systems.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 2011
WebsiteLinkedIn