Staff Officer (2030 Digitalisation - Artificial Intelligence Engineer)

The Joint Warfare Centre (JWC) is seeking a Staff Officer (2030 Digitalisation - Artificial Intelligence Engineer) to join its Data Science Team. The role involves developing and delivering AI solutions including large language models to support NATO exercises and digital transformation efforts, working in a multi-national environment in Stavanger, Norway.

Responsibilities

• Provide subject-matter-expert advice, manage the development, refinement, and delivery of large language model (LLM) artificial intelligence tools in support of JWC’s digital transformation effort.
• Highlight emerging technologies and opportunities for JWC to enhance its employment of its digital transformation using machine learning in JWC process improvement.
• Deploy, optimize and manage large language model-powered applications in a JWC production environment.
• Fine-tune existing, pre-trained (LLM) to adapt to future JWC applications.
• Develop multi-modal solutions to address hybrid search.
• Develop a roadmap for implementing Data initiatives and integrating NATO's digital transformation into JWC’s processes and exercise production.
• Develop and apply validation methodologies to verify the accuracy and reliability of large data-centric programmes, such as Geographic Intelligence and others across the JWC to ensure cohesive LLM outputs in support of exercise delivery.
• Recommend, coordinate, and initiate projects aimed at sustainably embedding AI-based solutions into JWC business processes.
• Collaborate with stakeholders, internal teams, and working groups, as needed.
• Provide expert advice and guidance on automation to the JWC’s leadership team and staff.
• Remain abreast of industry trends and best practices in artificial intelligence systems, contributing to the continual enhancement of analytical processes and tools at JWC NATO.

Requirements

• University Degree in information technology, economics, statistics, operations research or related discipline and 3 years function related experience, or Higher Secondary education and completed advanced vocational training in that discipline leading to a professional qualification or professional accreditation with 4 years post related experience.
• At least 3 years’ functional experience of developing, managing, and adapting artificial intelligence systems including Large Language Models (LLMs).
• At least 2 year’s functional experience with Python, SQL and Spark or equivalent.
• Certification in Microsoft Azure Data Scientist or equivalent.
• English – Upper Intermediate/Advanced.
• Strong analytical and critical thinking skills to identify patterns, trends and outliers in data as well as being able to solve complex business problems using data-driven approaches.
• Knowledge of and experience in programming, machine learning, data management, big data technology, ethical considerations of data and project management.
• Master’s Degree or equivalent in artificial intelligence systems, computational science, or related discipline (desirable).
• A recognized Project management Qualification (APM, Prince, AgilePM, etc.) (desirable).
• Considerable maturity and professional judgement to ensure seamless provision of high-quality support.
• High level of organisational and coordination skills.
• Excellent managerial, interpersonal, and communication skills with a visionary view to evolving requirements.
• Able to cope with stress and possessing good health.
• Must be able to work as a member of a team in a multi-national environment.
• An analytical, systematic and pro-active approach.
• Self-motivated and capable of working under pressure.

Skills

• Artificial Intelligence Systems Development
• Large Language Models
• Python Programming
• SQL
• Spark
• Microsoft Azure Data Scientist Certification
• Machine Learning
• Data Management
• Ethical Data Considerations
• Project Management
• Data Analysis
• Critical Thinking
• Programming
• Computational Science
• Organizational Skills
• Coordination Skills
• Management Skills
• Interpersonal Skills
• Communications Skills

Languages

English