Job Description

Job Overview:

The AI/ML Developer for Engineering IT is responsible for designing, integrating, deploying, and supporting AI/ML solutions that enhance engineering applications, enterprise platforms, and digital workflows. This role focuses on translating business and engineering requirements into scalable, secure, and production-ready AI capabilities, while enabling responsible AI adoption, operational reliability, and continuous improvement across Engineering IT systems.

Responsibilities

Key Tasks and Responsibilities:

Support the deployment, integration, and lifecycle management of AI/ML solutions within Engineering IT platforms, engineering applications, and enterprise workflows
Collaborate with engineering application owners, business stakeholders, infrastructure teams, and vendors to identify, design, and implement AI-enabled use cases that improve engineering productivity, quality, and operational efficiency
Develop and maintain production-ready pipelines for model deployment, monitoring, retraining, and version control, following MLOps and DevOps best practices
Ensure secure, scalable, and reliable integration of AI/ML services with enterprise systems, databases, APIs, and cloud or on-premises environments
Establish processes for model performance monitoring, drift detection, incident resolution, and continuous improvement to ensure stable business operations
Work closely with data, cybersecurity, architecture, and compliance teams to ensure responsible AI adoption, data governance, privacy, and adherence to enterprise standards
Prepare technical documentation, support materials, and knowledge transfer artifacts for Engineering IT teams, end users, and support personnel
Provide application support and troubleshooting for AI/ML-enabled engineering solutions, including issue analysis, root cause identification, and coordination of fixes with relevant teams
Contribute to evaluation of emerging AI tools, frameworks, and engineering technology platforms to recommend practical solutions aligned with Engineering IT strategy
Participate in cross-functional projects, pilot programs, and digital transformation initiatives to drive adoption of AI capabilities across engineering and project delivery functions

Qualifications

Essential Qualifications and Education:

2–5 years of hands-on experience in AI/ML development, deployment, or integration, with exposure to production environments
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, or a related discipline
Strong programming capability in Python, with practical knowledge of machine learning libraries and frameworks
Solid understanding of machine learning concepts, model development lifecycle, model evaluation, and performance tuning
Experience integrating AI/ML solutions with enterprise or engineering applications using APIs, services, and system interfaces
Working knowledge of MLOps and DevOps practices, including version control, CI/CD, model deployment, monitoring, and retraining workflows
Familiarity with cloud and on-premises deployment environments, containerization, and scalable solution architecture
Understanding of data pipelines, data quality, and governance requirements for enterprise AI implementations
Awareness of AI security, privacy, compliance, and responsible AI practices in enterprise settings
Strong analytical, problem-solving, documentation, and communication skills, with the ability to collaborate effectively across business, engineering, and IT teams
Exposure to engineering systems (2D/3D applications provided by AVEVA, HEXAGON, Bentley, Autodesk, others) digital engineering platforms, or enterprise application support will be an added advantage

#DICE

About Us

Our ingenuity fuels daily life. Together, we've forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably.

For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.

Senior IT Pillar Specialist