Schlumberger

Software Architect

Schlumberger$125K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of senior data architecture experience focused on federated/data-mesh or Google Cloud environments.
  • Proven ability to specify and oversee the delivery of data products from platform teams.
  • Demonstrated expertise in AI/ML solution architecture and integration with agents or APIs.
  • Exceptional stakeholder management and diplomacy skills are essential for collaboration with platform teams.
  • Experience in the energy sector or industrial data is beneficial but not mandatory.

Responsibilities

  • Define the AI/ML solution architecture tailored for large organizations.
  • Specify the necessary data products for OSS from SLB's Enterprise AI for reliable consumption.
  • Act as a technical liaison with the SLB Enterprise AI platform team to ensure alignment.
  • Design how OSS will utilize delivered data for AI characters, agents, and analytics.
  • Lead a small team of data engineers and junior architects, providing technical direction.
  • Oversee the technical safety and governance of OSS AI Characters/Personas.
  • Translate business demands into technical specifications, ensuring feasibility in development.

Benefits

  • Collaborative work environment fostering innovation.
  • Opportunity to work on cutting-edge AI and data projects.
  • Access to professional development resources and training.
  • Engagement with a prestigious organization in the energy sector.
  • Partnership with top technology teams and platform experts.
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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