Senior Data And Gen AI Engineer

Full Description

Job Description

Job Description Remarkable people, trusted by clients to design and advance the world. The Role This is an exciting opportunity for an experienced Senior Data and GenAI Practitioner with a proven track record in DataOps and GenAI business driving GenAI-powered innovation and enhancing both client delivery and business growth. The employee will work closely with Digital Consulting,Operations, and Project teams to develop and deploy AI solutions that create measurable impact. Our Clients and Projects Designing the future. Transforming the world. Wood's Oil, Gas & New Energies business is built on a strong legacy of delivering large and complex projects for national and international energy companies across the globe. We have experienced teams, a proven delivery model and a strong reputation. We are the market-leading provider of integrated and innovative solutions that challenge the status-quo in the oil and gas upstream and midstream, onshore and offshore, gas to liquids and decarbonization and electrification markets. We pride ourselves in steady and predictable delivery, setting our sights on an exciting growth trajectory. Energy security, transition and supply have never been more important. You, our enabling teams, are at the very forefront of transformative projects that are providing sustainable power to generations to come. We are the ones to bring low-carbon concepts to reality. What We Can Offer Meaningful and interesting projects: Delivered to high profile clients across the Energy Sector Commitment to Diversity and Inclusion: We are an organization actively committed to diversity and inclusion across our business Competitive remuneration package: With regular reviews to ensure we are rewarding at the right level in line with the market Medical Insurance: Ensures inpatient, and outpatient medical care is available should you require treatment Group Life and Personal Accident Insurance: The company provides Life Assurance cover End of Service Gratuity: In

line with UAE Labor Law, all employees are eligible for an End of Service benefit The Employee Share Plan: Gives you the opportunity to purchase Wood shares and receive a match from the company Long Service Award: Wood values the commitment and loyalty of our people. Celebrating Long Service provides an opportunity for the business to demonstrate their appreciation of the hard work, dedication and many years service of our employees at 5 year service milestones Commitment to continued professional development: Development plans that are tailored to your individual needs and interests Global connections: Join experts around the world who are at the leading edge of our industry, shaping the standards of our profession Energy Transition Academy: Join a community of experts sharing your knowledge and gaining more exposure to a variety of existing and emerging energy systems delivered by experts in their field The Key Objectives For This Role Are Lead the design, development, and deployment of AI-driven solutions, ensuring scalability and business value. Own the end-to-end AI solution lifecycle, from ideation to documentation, coding, testing, and deployment. Work hands-on with LLMs, machine learning models, and AI automation tools to solve real-world industry challenges Continuously improve AI models through fine-tuning, retraining, and user feedback integration. Engage directly with clients and internal stakeholders to understand pain points and identify high-value AI opportunities. Responsibilities Key Accountabilities and Responsibilities: Drive GenAI adoption across Wood s business units, helping teams understand and apply AI to their workflows. Partner with regional project teams and consulting units to ensure AI solutions align with operational goals. Assist in managing relationships with supporting teams, vendors, and technology partners. Keep up with emerging AI trends and technologies, ensuring Wood remains at the forefront of GenAI adoption. Contribute to the

evolution of DataOps and GenAI best practices, shaping how AI is embedded in engineering and industrial projects. Collaborate with internal teams to develop AI governance, ethics, and risk management frameworks. Deliver all aspects of AI solutions, including documentation, coding, testing and engaging with end users of our AI solutions.