Schlumberger

Software Architect

Schlumberger$130K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of senior data architecture experience, particularly in federated data-mesh or Google Cloud environments.
  • Proven success in specifying data products and collaborating with central/platform teams.
  • Background in AI/ML solution architecture and integration with agents or APIs.
  • Exceptional stakeholder management and diplomacy skills, balancing technical and business needs.
  • Experience in the energy sector or industrial data is advantageous but not required.

Responsibilities

  • Define and develop AI/ML solution architecture tailored for large organizations.
  • Specify necessary data products for OSS from SLB Enterprise AI.
  • Act as a technical liaison with the SLB Enterprise AI platform team.
  • Design the architecture for data feed consumption on the OSS side.
  • Lead and manage a small team of data engineers and junior architects.
  • Oversee the technical aspects of OSS AI Characters/Persona within SLB governance guidelines.
  • Bridge operational needs and technical feasibility to ensure alignment between business demands and deliverables.

Benefits

  • Opportunity to work on cutting-edge AI and data architecture solutions.
  • Leadership role influencing team and project direction.
  • Engagement with advanced technology in a reputable energy sector.
  • Cross-functional collaboration with a leading technology platform team.
Full Job Description
Purpose: Architect how OneSubsea 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 (BigQuery, 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, not essential.


ALL APPLICANTS FOR U.S. ROLES MUST CAREFULLY READ ALL THE SUPPLEMENTAL U.S. SPECIFIC INFORMATION LISTED BELOW.

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