Expert Agentic AI Engineer (Finance, Hybrid)

Copenhagen, Capital Region
Posted 1 week, 5 days ago
Software Development

About the role

Job summary

We are looking for a hands-on Expert Agentic AI Engineer to design and operationalize AI solutions that address business challenges in Asset & Wealth Management. This role involves translating business needs into effective agentic applications suitable for a regulated banking environment.

Qualifications

  • Proven experience in agentic AI, including designing and building workflows involving planners, executors, and human-in-the-loop systems.
  • Strong understanding of LLM operations with a focus on quality, latency, cost, and safety, including the ability to define test sets and conduct disciplined experiments.
  • Familiarity with Responsible AI practices, including input/output validation and data leakage prevention.
  • Proficient in software engineering with Python, including modular design and testing.
  • Experience with cloud services, particularly AWS, and integration via REST APIs, along with knowledge of containerization and CI/CD processes.
  • Background in data and analytics platforms, such as Snowflake, for context management.
  • Strong communication and collaboration skills to translate stakeholder needs into actionable solution requirements.

Responsibilities

  • Lead the delivery of AI solutions from concept to production, ensuring measurable outcomes.
  • Design and implement agentic AI applications that interact with enterprise systems.
  • Collaborate with business leaders and technical teams to ensure solutions provide real value and scalability.
  • Implement governance and safety measures suitable for a regulated environment.
  • Develop reusable components and patterns to enhance delivery efficiency.
  • Monitor and improve agent performance in production based on feedback and evaluations.

Skills

  • Hands-on experience with agentic AI and software engineering.
  • Strong analytical mindset with a focus on quality and safety in AI applications.
  • Excellent collaboration and communication abilities.

Education

  • Relevant degree in Computer Science, Engineering, or a related field is preferred.

Tools

  • Python, AWS, REST APIs, Snowflake, Kubernetes, CI/CD tools.
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