Description
Job Summary:
An experienced, collaborative and forward-thinking leader to develop and implement relevant artificial intelligence across our global business unit (GBU) with a focus on building safer, smarter, faster, and more sustainably. The AI solutions manager will serve as a strategic advisor to business line, functional, and project leadership and close collaborator with the GBU Innovation manager to identify, develop, and implement solutions that improve safety, increase productivity, and inform efficient decision-making across the business. The remit is to underpin and lead our nascent efforts to integrate AI into the foundation of how we design, build, and deliver mega-projects in the energy market.
Major Responsibilities:
Develop and manage a comprehensive AI strategy aligned with business goals
Advise GBU, functional and project leadership on where and how AI can deliver the most cross value across functions (e.g. engineering, construction, commissioning & start up, project controls, supply chain, operations)
Collaborate with the GBU Innovation Manager, internal subject matter experts, data
scientists, engineers, and IT teams to architect and deliver end-to-end AI solutions
Build, prioritize and manage a portfolio of high impact AI initiatives.
Promote execution driven ideation, technical development, and launch of innovative AI/ML solutions and managing the entire product lifecycle, from planning and development to deployment and updates
Oversee proof-of-concept pilots and guide them through testing, deployment, and scaling phases, coordinating with internal resources and third parties as required
Ensure AI solutions are explainable, responsible, secure, and aligned with ethics, governance and compliance standards
Partner across functional and project teams to embed AI capabilities into core business processes and digital workflows
Identify and resolve organizational barriers to AI adoption, including change management, data readiness, and upskilling
Promote AI use and integration, building awareness and educating teams on tools such as Microsoft Copilot, generative AI platforms, and predictive analytics
Requirements
Education and Experience Requirements:
Bachelor’s degree (or international equivalent) in related field and 8-10 years of relevant experience in AI, data science, or digital transformation roles that combine technical delivery with business impact or 15+ years industry work experience
Required Knowledge and Skills:
Demonstrated ability to translate business needs into technical AI solutions Effective communicator, able to confer complex concepts to non-technical audiences
Solid technical background and/or hands-on knowledge of AI/ML technologies, including machine learning frameworks, natural language processing, enterprise data architecture, computer vision, and LLM-based tools
Strong knowledge of prompt engineering concepts
Advanced level Azure Cloud and Azure AI stack experience
Experience with LLMs (Large Language Models) and Generative AI
Understanding of data privacy, security, and AI ethics in enterprise applications
Ability to stay updated with the latest trends and advancements in AI
Strong organizational skills including attention to detail and multitasking skills
Strong problem-solving skills
Excellent communication and collaboration skills
