Econa Aker Bp

Stavanger

Join our AI team to design, build, and productionise cutting-edge ML, AI, and agentic AI solutions, driving innovation across various specialisations from agent engineering to AI systems integration and product development.
Must haves
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Strong software engineering fundamentals: you write production code, not just notebooks; apply version control, code review, and reproducibility standards to all ML or AI development work.
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Experience building and shipping ML or AI-powered systems, ideally including LLM-based applications or ML solutions in production systems.
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Comfort with evaluation-driven development and production observability.
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Collaborative instincts: you will work daily with domain experts, platform engineers, and architects.
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Pragmatism about when to build custom versus reuse platform capabilities.
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Nice to have
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Mentorship and team development, raising the bar for those around you.
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Ability to communicate complex probabilistic concepts to non-technical stakeholders.
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Recognized research contributions (e.g., publications, open source projects, invited talks).
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Background in industrial, energy, or similarly consequential domains.
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Proficiency in Norwegian or other Scandinavian languages.
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About the roles
We are hiring engineers across several tracks to build, integrate, and productionise AI and agentic AI solutions within our cross-functional delivery pods. All roles share a common core -- building production-grade AI systems -- but differ in specialisation.
In this role, you will be responsible for:
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Build and ship production AI and agentic AI features within a cross-functional pod.
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Design, evaluate, and harden agent workflows, APIs, and AI-powered integrations depending on your track.
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Partner with domain experts, architects, and platform engineers to reuse central capabilities where possible.
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Apply evaluation-driven development and production observability as part of every release, CI/CD practices, and automated testing.
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Design and implement uncertainty-aware agent workflows: explicit confidence thresholds, graceful degradation paths, and human escalation triggers for agent actions where model reliability is insufficient for unassisted execution.
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Contribute to the reusable pattern catalogue and raise the bar for engineering quality across pods.
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Why these roles exist
Aker BP is building the foundation for agentic AI at scale. We are doing this as one operating model --- strategy, architecture, science, data, safety, and delivery designed to work together, not as separate teams. This role is part of that build.
We are moving AI into the core of industrial operations --- work that spans physical assets, regulated environments, and decisions that affect production, safety, and the broader energy system. We work cross-disciplinarily, with a focus on shipping into production rather than running experiments indefinitely.
One role -- several specialisations
Apply for different tracks.
We encourage you to apply with a preferred specialisation and an openness to discuss adjacent tracks. We assess core engineering strength first, and match specialisation based on pod needs and candidate strengths. We assess against a shared senior profile and match track based on strengths. Indicate a preferred track or stay open to placement. Available specialisations include: Track A -- Agent Engineer / LLM Engineer, Track B -- AI Systems / Integration Engineer, and Track C -- AI Product Engineer.
Track A: Agent Engineer / LLM Engineer
Design, build, and productionise AI agents that reason, orchestrate tools, and integrate with enterprise platforms. Focus on agentic patterns (ReAct, plan-execute, critic-actor), multi-agent coordination, guardrails, and evaluation. Significant emphasis on automating the data product lifecycle through agents.
Must-have
<li>Experience with agent frameworks, tool-use design, prompt-injection defenses, and RAG architectures. - Calibrated uncertainty estimation for agent decision points.</li>
Nice-to-have
<li>Experience with multi-agent coordination patterns (planner-executor, critic-actor, etc.). - Proven ability to develop and deploy LLM applications with a strong focus on robustness, uncertainty, and performance. - Contributions to open-source LLM projects or relevant research publications.</li>
Track B: AI Systems / Integration Engineer
Design and build production-grade AI systems including agent orchestration, APIs, and integration with enterprise platforms. Focus on reliability, scalability, and secure execution of AI workflows across our ecosystem (CDF, Fabric, ADME/OSDU, Integration Platform).
Must-have
<li>Strong API design background, including RESTful and GraphQL. - Extensive experience with event-driven architectures (e.g., Kafka, Azure Service Bus). - Proficiency in enterprise integration patterns and data orchestration within large-scale systems.</li>
Nice-to-have
<li>Experience with cloud platforms (Azure, AWS) and containerisation (Docker, Kubernetes). - Knowledge of data governance and security best practices for AI systems. - Understanding of MLOps principles for seamless integration and deployment.</li>
Track C: AI Product Engineer
Operate at the intersection of domain, AI, and engineering. Design, prototype, and implement AI solutions; iterate rapidly with users; ensure solutions are practical, scalable, and aligned with evaluation and platform standards. Strong user empathy and prototyping chops matter most here.
Must-have
<li>Demonstrated strong product sense with a focus on user needs and business value. - Experience with UX collaboration, rapid prototyping, and conducting user research. - Ability to translate complex AI capabilities into intuitive product features.</li>
Nice-to-have
<li>Experience bringing AI-powered products from concept to market. - Proficiency in A/B testing and quantitative analysis for product iteration. - Deep understanding of specific industrial domains, e.g., energy, manufacturing, or logistics.</li>
What we offer
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Professional development 
We are committed to providing you with varied experience and enhancing your expertise, helping you build a strong CV for the future.
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Competitive compensation 
We offer a competitive salary, an opportunity to earn bonuses, a share savings programme, and a solid pension scheme.
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Work-life balance 
We value good health and work-life balance, offering good cafeterias, work-out facilities, and flexibility in working hours and location.
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Employee well-being 
We ensure you get support from our company health service and insurance programmes should anything happen.
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Diverse &amp; inclusive environment 
We are convinced diversity is important for success, and everyone should feel involved, included, and respected.
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Accessible workplace 
Our offices are designed to be universally accessible for all.
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Our culture &amp; vision
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SAFER values 
Our foundation is built on being Seekers, Accountable, Foreseeable, Engaged, and Respectful in everything we do.
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AI-first mindset 
We are an AI-first company, committed to leading our industry in AI adoption and unlocking its transformative power.
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ONETEAM culture 
Cooperation is at our core; working with us means being part of our collaborative 'ONETEAM' culture.
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Safety priority 
We put safety first in all operations and expect the same commitment from every team member.
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Application process
Background checks will be performed, following consent from relevant candidates. We ask that you enclose your diploma/grade transcript with your application. Furthermore, an assessment of affiliation to high-risk countries is carried out as part of the recruitment process for all positions in Aker BP.

AI and Machine-Learning Engineer (multiple positions)