AI and Machine Learning Solutions Lead

ADNOC Abu Dhabi UAE; Abu Dhabi; On-site; AED 400,000 - 800,000; Full time

Job summary

ADNOC Group in Abu Dhabi invites an experienced AI/ML Solutions Lead to steer development and deployment of advanced digital automation. You will lead end-to-end lifecycle, collaborate with enterprise architects and business stakeholders, and ensure alignment with ADNOC standards. 10+ years in IT with at least 6 in AI/ML roles is expected.

This is a full-time, on-site role based in Abu Dhabi. The role requires leading cross-functional teams, evaluating new AI technologies, and delivering secure

Qualifications

• Bachelor's degree in IT/CS or equivalent.
• At least 10 years of IT experience with 6+ years in AI/ML roles.
• Experience leading AI/ML solution development and delivery.

Responsibilities

• Lead development and deployment of AI/ML solutions across the organization.
• Design scalable AI architectures and oversee the SDLC.
• Collaborate with enterprise architects, project managers and stakeholders.
• Translate business needs into effective digital AI-based services.

Skills

AI leadership

Machine Learning

Python

Analytics

Enterprise Architecture

Education

Bachelor's degree in IT/CS

Tools

NoSQL

RDBMS

Job description

AI and Machine Learning Solutions Lead Job Snapshot - Role: AI and Machine Learning Solutions Lead - Location: Abu Dhabi, United Arab Emirates - Industry: Oil and Energy - Function: IT-Software Development - Experience: 10 years of relevant IT experience, including at least 6 years in progressively responsible AI and Machine Learning roles - Job Type: Full Time - Work Arrangement: On-site

Position Overview ADNOC Group is seeking an experienced Artificial Intelligence and Machine Learning professional to lead the development, implementation and management of advanced digital automation solutions. Based in Abu Dhabi, United Arab Emirates, the role focuses on applying AI, machine learning, advanced analytics and enterprise technologies to address business challenges, automate processes and generate actionable insights across the organization. The position involves developing scalable AI applications, designing solution architectures, managing the complete Solutions Development Life Cycle and ensuring that digital services meet business requirements, enterprise architecture principles, information security standards and service delivery commitments. The successful candidate will work closely with Group Digital management, engineering teams, enterprise architects, project managers and business stakeholders to translate strategic objectives into effective digital solutions.

Job Details - Country: United Arab Emirates - City: Abu Dhabi - Industry: Oil and Energy - Function: IT-Software Development - Salary: Not disclosed - Gender: No Preference - Candidate Nationality: Not specified - Job Type: Full Time - Work Arrangement: On-site

Key Accountabilities

• Artificial Intelligence and Advanced Analytics
  • Develop and implement AI and machine learning solutions that address business requirements and improve organizational performance.
  • Apply advanced analytics and statistical techniques to identify patterns, trends and opportunities for diagnosis and prediction.
  • Design scalable AI applications using established frameworks, standards and architectural patterns.
  • Research emerging AI technologies and evaluate their suitability for business applications.
  • Collaborate with cross-functional teams to identify opportunities where AI can improve business processes and support growth.
  • Develop prototypes and contribute to innovative concepts, research papers and potential patent submissions.
  • Analyze complex datasets and performance indicators to generate meaningful business insights.
  • Prepare analytical reports that explain findings, methodologies and recommendations to stakeholders.
  • Assess local, national and global technology trends and their potential impact on ADNOC and the wider industry.
• AI Solutions Development and Implementation
  • Lead the development, implementation and support of advanced automation applications and digital services.
  • Manage solution delivery through all phases of the Solutions Development Life Cycle.
  • Participate in functional design, process design, scenario development, process mapping, prototyping, testing and training.
  • Supervise application modifications, including coding, testing, debugging and installation activities.
  • Coordinate with programmers, engineers and business stakeholders to identify system improvements and technical requirements.
  • Ensure developed solutions meet functional specifications and business objectives.
  • Support integration between applications and enterprise systems while maintaining data availability, integrity and service continuity.
  • Develop secure, fit-for-purpose software applications in accordance with ADNOC Group Digital standards.
  • Document solution architectures, implementation outcomes and lessons learned.
• Digital Strategy and Tactical Planning
  • Coordinate with business stakeholders and Group Digital management to translate advanced automation strategies into practical solutions and services.
  • Contribute to periodic reviews of the Group Digital Strategy.
  • Ensure digital initiatives remain aligned with business requirements and short-, medium- and long-term organizational plans.
  • Support the translation of strategic objectives and technology roadmaps into actionable departmental plans.
  • Coordinate with other Digital departments and sections to support consistent implementation of strategic initiatives
  • Provide technical expertise and recommendations when evaluating new digital software projects and technology investments.
• Advanced Automation Solutions Delivery
  • Lead business requirements analysis, solution scoping, technical evaluations, prototyping and implementation activities.
  • Ensure advanced automation solutions are delivered in accordance with approved company strategies and standards.
  • Support business users according to established service level agreements and delivery guidelines.
  • Oversee the delivery of high-quality, cost-effective digital solutions supporting critical business operations.
  • Monitor internal and external service providers against agreed service levels.
  • Ensure deployed solutions undergo comprehensive testing, quality assurance reviews and approved release processes.
  • Apply enterprise architecture principles, data management requirements and information security standards throughout development and implementation.
  • Report project and program progress against approved schedules, resources and costs.
  • Ensure assigned projects comply with the established Project Management Methodology and related standards.
• Business Requirements and Pre-Deployment Assessment
  • Lead feasibility studies for digital systems and advanced automation initiatives.
  • Assess business requirements and contribute to the design of supporting business processes.
  • Prepare findings and recommendations for review and approval by Digital and Business management.
  • Analyze functional requirements, including input transactions, output reports and operational processes.
  • Recommend technical solutions and process improvements for business user approval.
  • Develop functional specifications based on approved business requirements.
  • Perform impact assessments for new developments to support integration with existing systems.
  • Lead the preparation of business cases, project initiation documents and supporting project artifacts.
• Technology Evaluation and Application Integration
  • Evaluate commercially available software packages against existing business processes and functional requirements.
  • Recommend appropriate solutions based on technical suitability and business needs.
  • Develop or coordinate application interfaces where required to support system integration.
  • Maintain appropriate standards for data availability, integrity and continuity of digital services.
  • Test software solutions for compliance with functional requirements and ADNOC Group Digital policies.
  • Receive, assess and prioritize change requests from digital service owners and users.
  • Identify opportunities to improve the efficiency and effectiveness of existing applications.
  • Support business users in the effective utilization of applications and information technology.
• Solution Architecture and Documentation
  • Coordinate with enterprise architects and technology architects to prepare solution design documentation.
  • Develop and maintain data models, data flow diagrams and relevant architecture artifacts.
  • Document system interfaces, functional requirements and technical solution designs.
  • Update documentation throughout the system development and support lifecycle.
  • Maintain accurate as-built solution documents and implementation records.
  • Archive approved technical documentation in accordance with company standards.
  • Capture lessons learned from solution exploration, prototyping and accelerated incubation activities.
• Application Support and Service Continuity
  • Supervise the technical support of advanced automation applications and associated systems.
  • Coordinate the investigation and resolution of complex application problems escalated by the Digital Help Desk or Solutions teams.
  • Review application performance and identify technical issues requiring corrective action.
  • Support users during and after application deployment.
  • Plan and coordinate the implementation of new software releases.
  • Ensure service delivery activities comply with agreed support procedures and service levels.
  • Provide technical guidance to users and relevant support teams.
  • Maintain effective coordination with external service providers where required.
• Data Analysis and Governance
  • Review reports, datasets and performance indicators to identify trends, anomalies and potential application issues.
  • Apply statistical tools to analyze and interpret complex information.
  • Collaborate with technical teams and management to identify process improvement opportunities.
  • Recommend system modifications and contribute to data governance strategies.
  • Support reliable information management and effective use of organizational data.
  • Present analytical findings in a clear format to support business decisions.
  • Ensure relevant data management and information security standards are applied to digital solutions.
• Technical Leadership and Team Development
  • Plan, supervise and coordinate activities within the assigned technical domain.
  • Provide guidance to team members involved in advanced automation and AI solution delivery.
  • Support the development of staff capabilities in relevant technologies and technical practices.
  • Coordinate technical resources to achieve functional objectives.
  • Promote effective collaboration between engineering teams, digital specialists and business stakeholders.
  • Act as a subject matter expert for future domain-specific implementations.
  • Encourage the adoption of relevant best practices in advanced automation solutions and services.
• Budget and Performance Management
  • Provide input to functional, divisional, departmental or sectional budget preparation.
  • Support implementation of approved budgets and work plans.
  • Monitor relevant expenditure and identify significant budget variances.
  • Report financial or resource concerns to support effective cost control.
  • Contribute to approved functional performance objectives.
  • Monitor delivery progress against established plans and performance requirements.
  • Prepare management information and progress reports for company leadership.
• Policies, Quality and Continuous Improvement
  • Implement approved company policies, processes, systems, standards and procedures.
  • Ensure digital solutions comply with relevant company and international standards.
  • Identify opportunities to improve internal processes through automation and technology.
  • Develop practical tools and techniques that enhance operational quality and efficiency.
  • Benchmark existing processes against relevant industry practices.
  • Recommend intelligent solutions to technical and operational challenges.
  • Support consistent application of quality assurance and software release requirements.
• Health, Safety, Environment and Sustainability
  • Comply with applicable Health, Safety and Environment policies, procedures and controls.
  • Follow relevant legislation, sustainability guidelines and international standards.
  • Maintain compliance with ADNOC Codes of Practice and established company requirements.

Communications and Working Relationships

Internal Stakeholders

• Group Digital management teams across ADNOC Group.
• Program and project managers.
• Enterprise and technology architects.
• Digital Strategy, Planning and Quality Assurance teams.
• ADNOC Group Companies and relevant business functions.
• Engineering teams, application developers and business users.
• Digital Help Desk and Solutions support teams.

External Stakeholders

• External auditors, consultants and technology vendors.
• Local and international digital service providers.
• Digital professional organizations.
• Regional and international oil companies for benchmarking, information exchange and relevant study activities.

Qualifications and Experience

Minimum Education

Bachelor 's degree in Information Technology, Computer Science or an equivalent qualification.

Professional Experience

Minimum 10 years of relevant information technology experience.

• At least 6 years in positions involving progressively increasing technical and managerial responsibilities in Artificial Intelligence and Machine Learning solutions.
• Application development experience, preferably within the oil industry.

Technical Knowledge and Skills

• Deep knowledge of Machine Learning and Deep Learning.
• Natural Language Processing (NLP).
• Python programming.
• NoSQL databases.
• Relational Database Management Systems (RDBMS).
• Artificial Intelligence applications and advanced analytics.
• Statistical analysis and predictive techniques.
• Enterprise application development and integration.
• Solution architecture and technical design.
• Functional analysis and business process design.
• Software testing, debugging and quality assurance.
• Data modeling and data flow documentation.
• Enterprise architecture and information security standards.
• Digital automation solutions and service delivery.
• Project management methodologies.
• Technical leadership and cross-functional coordination.

Preferred Professional Certifications

• Certification in Machine Learning or Artificial Intelligence is desirable.
• Project Management Professional (PMP) certification is desirable.

Technical and Behavioural Competencies

• Technical competencies: As per ADNOC 's approved competency dictionary.
• Behavioural competencies: As per ADNOC 's approved competency dictionary.

About ADNOC Group

ADNOC Group is a diversified energy organization wholly owned by the Abu Dhabi Government. Its businesses operate across the energy value chain, supporting the responsible supply of energy to meet evolving market requirements. The Group Digital function supports the development and implementation of digital technologies, advanced automation and intelligent solutions across the organization. This role contributes to ADNOC 's digital objectives by developing enterprise AI and machine learning solutions, improving business processes, supporting data-driven decision-making and maintaining effective digital service delivery.