Senior AI Engineer - Supply Chain

Cognite
Bengaluru
Workplace: OnsiteFull timeFunction: Supply Chain & LogisticsSkills: ["Ownership","Communication","Rapid iteration","Clear storytelling"]

Own and architect packaged, customer-ready agentic workflows for integrated supply chain use cases. Build and enhance multi-agent systems that use Cognite’s Data Fusion (CDF) knowledge graph to automate complex supply chain decisions, including visibility, exception surfacing, and recommendations. Collaborate with product, value delivery, field engineering, and partners to run discovery workshops, prototype on customer data, troubleshoot agent behavior, and iterate toward production-ready deployments across customers.

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FursaFursa
Cognite
Cognite
2 months ago

Senior AI Engineer - Supply Chain

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Source: Company careers pageValidated by: Fursa AI
Last checked: 41 minutes agoStatus: Live

Job Summary

Own and architect packaged, customer-ready agentic workflows for integrated supply chain use cases. Build and enhance multi-agent systems that use Cognite’s Data Fusion (CDF) knowledge graph to automate complex supply chain decisions, including visibility, exception surfacing, and recommendations. Collaborate with product, value delivery, field engineering, and partners to run discovery workshops, prototype on customer data, troubleshoot agent behavior, and iterate toward production-ready deployments across customers.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Supply Chain & Logistics
Seniority: Mid level

Key Responsibilities

  • •Develop modular, multi-agent systems using ATLAS AI to solve supply chain problems via the CDF knowledge graph and deliver product-ready packaged agents.
  • •Design and build reliable knowledge graph orchestration tools to handle multi-hop lookups and return accurate structured data for agent reasoning.
  • •Create prompt chains and evaluation frameworks to ensure agents provide accurate, operationally safe recommendations for industrial use cases.
  • •Rapidly prototype and deploy on customer or synthetic data, testing with customers and SMEs and supporting integration with the value-delivery team.
  • •Lead cross-functional collaboration and discovery workshops with product, value delivery, field engineering, and partners to improve agent readiness and packaging priorities.

Key Requirements

  • •6-9 years delivering production-grade AI/ML features, with hands-on LLM experience (embeddings, prompt engineering).
  • •Experience building LLM-driven or agentic systems using frameworks such as LangChain (or similar).
  • •Ability to query and navigate knowledge graphs and model relationships as nodes and edges.
  • •Full-stack ownership: frontend React (or similar) + TypeScript, and backend Python or Kotlin for orchestration and API integration.
  • •Ability to work with imperfect industrial/supply-chain data and reason across it (e.g., time series and sparse metadata).
Experience:AI/MLIndustrial dataSupply chain
Skills:OwnershipCommunicationRapid iterationClear storytelling
Languages:English
Tech Stack:ATLAS AICognite Data Fusion (CDF)Cognite FlowsKnowledge GraphLangChainReactTypeScriptPythonKotlinCursorClaude CodeCopilotVector databasesRAGAWSAzureGCPChain-of-Thought

Company Brief

Cognite
Provides industrial data software that helps companies connect, contextualize, and use operational data for analytics, AI, and digital transformation. Its platform is used by heavy-industry customers to improve asset performance and operations.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Oslo, Norway
Founded: 2016
WebsiteLinkedIn