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Software Architect, AI Engineer (Applied​/Software), Data Engineering

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Schlumberger Limited
Full Time position
Listed on 2026-08-27
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Digital Technology & Research, Engineering & Design, Manufacturing

Purpose: Architect how One Subsea specifies, consumes, and applies data and AI capability built on SLB's enterprise platform, translating business needs across the value streams into well-defined data products and the solutions built on them. This is the senior technical anchor of the OSS Beacon AI programme.

Key responsibilities (high level):

  • Define and specify the AI/ML solution architecture for large organizations.
  • Define and specify the data products OSS requires from SLB Enterprise AI, so they can be built once and consumed reliably.
  • Technical interface and working relationship with the SLB Enterprise AI platform team.
  • Design the consumption architecture on the OSS side — how delivered data feeds AI characters, agents, and analytics across the value streams.
  • Provide technical leadership to a small team of data engineers and junior architects.
  • Serve as technical owner of the OSS AI Characters/Persona working within SLB security and governance.
  • Translate between business/operational needs and technical feasibility — the bridge between the digital leads' demand and what actually gets built.

Experience profile (what to screen for):

  • Senior data architecture experience, ideally within a federated / data-mesh or Google Cloud (Big Query, Dataplex) environment — someone who has worked as a consuming domain on a central platform, not just built standalone systems.
  • Track record specifying data products and getting a central/platform team to deliver against them.
  • Track record of AI/ML solution architecture and, ideally, agent or API integration.
  • Strong stakeholder skills — this role is as much diplomacy with the platform team as it is technical design.
  • Energy sector / industrial data experience is a plus
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