Senior Data And Gen AI Engineer

坯潤; Abu Dhabi; On-site; AED 250,000 - 350,000; Full time

Job summary

A leading company is seeking an experienced Senior Data and GenAI Practitioner to drive AI-powered innovations in the Energy Sector. The ideal candidate will lead the design and deployment of AI solutions that enhance client delivery, contributing to business growth while working closely with various project teams.

Benefits

Medical Insurance

Group Life and Personal Accident Insurance

End of Service Gratuity

The Employee Share Plan

Long Service Award

Commitment to professional development

Global connections in the industry

Energy Transition Academy

Qualifications

• Minimum 10 years of experience delivering digital solutions in the Energy Sector.
• Deep knowledge of data management solutions and data architecture.
• Experience in creating data ingestion pipelines from various sources.

Responsibilities

• Lead the design, development, and deployment of AI-driven solutions.
• Own the end-to-end AI solution lifecycle from ideation to deployment.
• Engage with clients to identify high-value AI opportunities.

Skills

Data management

Machine learning

Python

GenAI

Data architecture

Natural language processing

Education

Bachelor's or Master's degree in Engineering or Computer Science

Tools

AWS

Microsoft cloud services

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

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
  
  

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.
  
  

Qualifications

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.

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