Artificial Intelligence Engineer

Careers

Job Details

Artificial Intelligence Engineer

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

Apply Now Share

Position Title: Domain AI Integration Engineer

Employment Type: Full‑Time

Work Location: Houston, TX

Position Summary

The Domain AI Integration Engineer will be responsible for integrating advanced Artificial Intelligence and Generative AI capabilities into the company's domain software systems (e.g. Delfi, Lumi), with a focus on designing and shipping production-grade agentic solutions.

This role requires specialized technical expertise in AI/ML systems, domain knowledge (e.g. geoscience, petroleum engineering), domain foundation models, and enterprise-scale software integration. A strong understanding of domain workflows is highly valued, as the engineer is expected to translate domain problems into effective agentic solutions.

The engineer will collaborate with product teams, domain experts, and the AI Foundation Team to accelerate AI adoption through advanced agentic systems (multi-agent orchestration, reasoning pipelines, compound AI), deploy domain-specific models, and establish robust agent evaluation frameworks.

This position requires highly specialized knowledge consistent with a professional role in computer science, engineering, or a related technical field, combined with applied domain experience in the energy industry.

Key Responsibilities

• GenAI Integration for SLB Digital Products
• Integrate AI Foundation services (FM Hub, Model Ops, AI Workspace, Agent Workspace, GenAI Infrastructure) into SLB digital products such as Delfi and Lumi.
• Develop reusable integration patterns, APIs, and components that enable scalable, production-ready GenAI capabilities across product teams.
• Deliver hands-on enablement - working demos, reference implementations, and workshops - to accelerate GenAI adoption across domain product teams.
• Domain Foundation Model Integration, Deployment & Benchmarking
• Integrate and deploy domain-specific foundation models into domain workflows and product pipelines, ensuring domain-aligned behavior and performance.
• Collaborate with domain teams to define benchmark datasets, evaluation metrics, and acceptance criteria; establish continuous evaluation frameworks to assess model quality, robustness, and domain relevance.
• Support product teams in embedding benchmarking and evaluation into their development and release processes.
• Optimize deployment workflows for inference efficiency and production readiness.

3. Domain Agentic Solution Development

• Design and build end-to-end agentic solutions - including multi-agent systems, reasoning pipelines, and tool-use orchestration - that address real domain challenges in geoscience and energy.
• Translate domain expertise into agent architectures that combine foundation models, domain data, and simulation tools into compound AI systems.
• Develop agent evaluation frameworks and serve as an internal reference for advanced agentic solution patterns.

Required Qualifications

• Advanced degree (MS or PhD) in Geophysics, Geoscience, Petroleum Engineering, Computer Science, Electrical Engineering, Applied Math, or equivalent.
• Experience with AI/ML model integration, deployment, and evaluation.
• Proven experience building and deploying agentic AI systems (multi-agent, tool-use, reasoning pipelines) in production.
• Experience with cloud‑based AI infrastructure, model operations (Model Ops), and scalable service integration.
• Familiarity with geoscience, subsurface, or energy workflows; a strong understanding of domain problems is highly valued and expected for success in this role.
• Ability to work cross‑functionally with product teams, domain experts, and platform engineering groups.
• Strong communication skills, including the ability to deliver technical training and documentation.

Preferred Qualifications

• Experience with using foundation models, large language models, domain‑specific AI systems, agentic systems.
• Hands-on experience with domain AI applications: seismic interpretation, reservoir simulation.
• Familiarity with subsurface software platforms.
• Experience building benchmarking pipelines, evaluation frameworks, or automated testing systems for AI models.
• Knowledge of agent‑based AI architectures and domain agent design.

Apply Now Share

Benefits

flight

International Opportunities

Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.

medical_services

Insurance

Health, vision, and dental insurance for you and your dependents available from day one.

local_library

Learning Opportunities

Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.

diversity_2

Diverse and 
Inclusive

Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.

About Us

We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.

Global in outlook, local in practice - and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact accommodationhotline@slb.com to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.

Similar Job Openings

Digital Twin Architect

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

View

ETO Electrical Engineer

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

View

High Performance Computing Engineer

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

View

Project Director

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

View

Team Leader

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

View

Technical Team Leader

United States, Houston

Digital Technology & Research, Engineering & Design, Manufacturing

View

• ]:w-4 [&>]:h-4 [&>]:rounded-full [&>]:mr-2 [&>]:border-0 pt-[0.813rem]">