Senior Data & Gen AI Engineer
Abu Dhabi, United Arab Emirates
Wood
With 35,000 professionals, across 60 countries, Wood is one of the world’s leading consulting and engineering companies operating across Energy and Materials markets.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 robust cost and schedule management, ideally coming from a cost control background, to take on a high value portfolio of projects for a high-profile client.
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.
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.
Skills And Qualifications
What makes you remarkable?
At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world’s most critical challenges.
Expected:
- A bachelor’s or master’s degree in engineering, Computer Science, Computer Engineering or equivalent technical discipline with an engineering background
- Minimum of 10 years of experience delivering digital solutions in Energy Sector or related field industries
- Deep knowledge of data management solutions and data architecture, data processing, analytics and IoT systems, with strong capabilities across a range of technologies
- Python, including Pandas, API development, machine learning including regression models, scikit-learn, TensorFlow.
- GenAI, including natural language processing, RAG and LLM reasoning / prompting.
- Data wrangling and data ingestion from a range of data sources including, SAP, SharePoint and Snowflake as well as unstructured data such as documents, spreadsheets and drawings.
- Data integration, including use of LLM API's to create content, set up and management of vector databases and development of retrieval pipelines.
- Experience of implementing successful solutions on AWS, Microsoft cloud services or Databricks, MS Power BI, UI frameworks such as JavaScript-based frameworks.
- Technical troubleshooting and problem-solving attributes should include:
- Highly motivated, taking ownership to consistently deliver on commitments.
- Excellent communication and stakeholder management skills.
- Curious with the ability to ask the right questions and assimilate information from a variety of sources to quickly demonstrate an understanding of your customers business processes, pain points and needs.
- A proven track record in the end-to-end delivery of impactful AI solutions.
- Ability to thrive when working as part of a global team.
Diversity Statement We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI governance API Development APIs Architecture AWS Computer Science Consulting Databricks Data management DataOps Engineering Generative AI Industrial JavaScript LLMs Machine Learning ML models NLP Pandas Pipelines Power BI Prompt engineering Python RAG Scikit-learn Security SharePoint Snowflake TensorFlow Testing Unstructured data
Perks/benefits: Career development Equity / stock options Insurance Startup environment
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