The AI/ML Engineer is responsible for integrating AI capabilities into enterprise platforms, products, and business workflows.
This role focuses on operationalizing AI solutions by integrating AI models and AI services into production systems, and enabling scalable, secure, and responsible AI adoption across the organization.
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.
*Key Tasks and Responsibilities:**
Apply broad knowledge of IT operations principles, business drivers, and related areas to impact results
Build relationships with key functional stakeholders in the business and communicate appropriately with them
Broad knowledge of various technologies (Windows 10, Windows 7, MS O365, Active Directory, Cisco UCS, Mobile Device Management, Cyber Security, Networking and Connectivity, Server Support, and Infrastructure Projects)
Strong business acumen and the ability to translate technical terms into business terms required
Responsible for day\-to\-day service operations. This includes providing regular infrastructure maintenance and support, with prompt resolution of issues, off\-hours support, and compliance with IT governance and processes
Proactively use root cause analysis to increase operational efficiency
Effectively manage third\-party service providers
Liaise with vendors and application teams to drive the root cause analysis and problem resolutions
Provide daily, weekly, and monthly reports to the appropriate audience
Manage a team of IT support resources to provide best\-in\-class IT service to all functional users
Manage performance of Level 2 \& Level 3 services and support clients while ensuring service levels are achieved and customer expectations are met or exceeded
Responsible for ensuring staff are meeting/exceeding expectations regarding performance and defined SLA metrics/benchmarks
Work with senior leadership and management in the business units to communicate issues, resolutions, and impact on business, as well as report on Metrics/KPIs
Develop end\-user communications and ongoing technical training material is required
Impact the quality of operations provided by internal and external operations teams
Directly affects customer satisfaction through engagement with customers and by providing transparency into operational outcomes
Manage and engage with external vendors \& internal stakeholders to negotiate contracts and key deliverables of IT assets procurement and services
Direct and oversee vendor work
Integrate AI and ML capabilities into business applications, platforms, and processes using APIs, cloud AI services, and enterprise architecture patterns
Translate business and functional requirements into AI\-enabled solutions in collaboration with product, engineering, and data teams
Deploy, monitor, and maintain AI solutions in production environments (CI/CD, MLOps, APIs, orchestration)
Leverage pre\-trained models, foundation models, and cloud AI services, adapting them to business needs rather than building models from scratch
Ensure AI solutions meet standards for security, scalability, reliability, and responsible AI (privacy, ethics, compliance)
Support application teams with AI integration guidance, best practices, and troubleshooting
Continuously optimize AI\-enabled systems based on performance, usage, and business impact
*Essential Qualifications and Education:**
Bachelor's or Master’s degree in Computer Science, Engineering, AI, Mathematics, or a related field
ITIL Certification is nice to have
2\-5 yrs in AI and ML development, with a proven track record of successful projects
In\-depth knowledge of IT infrastructure operations (Networking and Connectivity, Server Support, Infrastructure Projects)
Experience managing the IT Asset lifecycle from procurement to inventory management and secure disposal
Provide support after new systems are rolled out and train non\-technical end users
Strong Customer service skills
Good verbal and written communication skills
Knowledge of Microsoft operating systems and Office suites
Follow processes and procedures
Ability to solve highly complex, non\-routine problems and coordinate troubleshooting efforts from various teams into a cohesive solution
Enhanced root\-cause analysis skills, with the ability to identify improvement opportunities in the technology stack, suggest improvements to current processes, and demonstrate a cross\-functional approach to problem resolution