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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing advanced AI solutions, with a strong focus on generative AI, AI agents, and multimodal AI. Proven ability to mentor and collaborate within teams while ensuring safety and responsible AI practices.
Highest-signal resume keywords
Generative AIAI AgentsModel EvaluationAI EngineeringSoftware Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Large Language ModelsApplied Machine LearningAI Solution DeploymentOrchestration TechniquesReasoning Systems
Soft Skills
CuriosityCreativityCollaborationCourageCaring Values
Tools & Technologies
Retrieval SystemsEnterprise Integrations
Certifications & Qualifications
Master's DegreePhD
Industry Keywords
Operations ResearchApplied MathematicsData ScienceControl AutomationEngineering
About the role
Key responsibilities & impact- Lead the design and development of advanced agentic AI solutions.
- Explore and apply emerging techniques in AI agents, reasoning systems, orchestration and multimodal AI.
- Work hands-on with large language models, retrieval systems, AI agents and enterprise integrations.
- Partner with engineering and product teams to bring solutions from idea to production.
- Evaluate models, frameworks and architectures, identifying what creates real business value.
- Help establish best practices for scalable, reliable and responsible AI.
- Mentor colleagues and contribute to the growth of Equinor's AI community.
- Represent Equinor in external AI communities, conferences and collaborations when relevant.
Requirements
What you’ll need- Master´s or PhD in operations research, applied mathematics, computer science, data science, control/automation, engineering or a related discipline.
- Strong practical experience with generative AI and modern language models.
- Proven ability to build and deploy AI solutions in production environments.
- Expertise in one or more areas such as AI agents, RAG, model evaluation, AI engineering, multimodal AI or applied machine learning.
- Strong software engineering skills and a willingness to stay hands-on.
- Curiosity, creativity and a passion for making new technology useful.
- Open, collaborative, courageous and caring values.
- Safety must be a priority and contribution to a zero-harm culture.
- Background checks for all final candidates.
- Permanent and temporary hires screened using relevant sanctions lists.
- Applicants for jobs in Norway must provide information on affiliation to high-risk countries for a security assessment.
Benefits
Comp & perks- Competitive salary
- Global parental leave
- Bonus scheme
- Pension plan
- Flexible work arrangements
- Wide range of learning activities and career development opportunities
- Reasonable adjustments during the recruitment process for candidates with disabilities or long-term health conditions