Digitalization and Artificial Intelligence Engineer

Title:

Belong, Connect, Grow, with KBR!

The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.

KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.

We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor’s office for an Offshore client.

Job Title: Digitalization and Artificial Intelligence Engineer

Location: Madrid, Spain
Project: LZ LTDP-1
Department: Engineering / Digital Transformation
Reports To: Project Manager

Job Description:

Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations    Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.

Key Responsibilities:

Design & Engineering

• Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
• Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
• Identify and select appropriate digital and AI technologies for implementation.

Integration & Implementation

• Define and implement integration strategies with existing ADNOC systems such as Panorama.
• Ensure seamless integration of various digital solutions into a common user-friendly platform.
• Design plant facilities to accommodate selected digital and AI technologies.

Infrastructure & Compliance

• Identify required IT infrastructure and ensure compliance with:
  • Wireless Infrastructure (AGES-SP-12-003)
  • Wireless Instrumentation System (AGES-SP-04-019)
• Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD).

Execution & Commissioning

• Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
• Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.

Technology & Innovation

• Promote adoption of edge computing and autonomous operation programs.
• Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
• Integrate drones and robotics as part of the digitalization scope.

Guidelines & Standards

• Ensure adherence to ADNOC’s AI P5 Guidelines and instrumentation standards:
  • Wells & Surface Facilities Instrumentation
  • Real-time Data Mapping
  • Domain Data Requirements
  • Collaborative Working Environment
  • Change Management & Communication
  • Telecommunication Infrastructure

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
• Proven experience in EPC project environments and multi-disciplinary coordination.
• Strong knowledge of industrial automation, edge computing, and AI platforms.
• Familiarity with ADNOC systems and standards is highly desirable.

Skills & Competencies:

• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Project management and scheduling expertise.
• Ability to work collaboratively across disciplines and with subcontractors.
• Cybersecurity awareness and data governance understanding.