Senior AI Solutions Developer (Finance, Remote)

Copenhagen, Capital Region
Posted 1 week, 3 days ago
Data Science

About the role

Job summary

Seeking a senior expert to design, build, and operationalize production-grade AI agents and automations in Asset & Wealth Management, focusing on Private Banking. This role involves leading end-to-end delivery, from defining business problems to implementing secure and well-governed agent solutions using Microsoft Power Platform and AWS.

Qualifications

  • Over 7 years of experience in building enterprise solutions on Microsoft Power Platform, including Power Automate and Copilot Studio.
  • Strong cloud experience with Azure and AWS, particularly in deploying AI services and integrating with enterprise systems.
  • Hands-on experience with agentic/LLM solution patterns and generative AI applications.
  • Proficient in Python and Java, with experience in automation, data processing, and API integrations.
  • Familiarity with containerization (Docker), orchestration (Kubernetes), and Infrastructure as Code (Terraform).
  • Understanding of CI/CD and DevOps practices.

Responsibilities

  • Own the delivery process from ideation to production, including framing business problems and shaping solution designs.
  • Ensure operational readiness and continuous improvement of deployed agents.
  • Build and evolve agent solutions, integrating with enterprise systems via APIs.
  • Collaborate with business stakeholders and engineering teams to ensure scalable implementation.
  • Implement governance and safety measures for AI solutions in a regulated environment.
  • Monitor agent behavior and optimize based on feedback and evaluations.

Skills

  • Strong programming skills in Python and Java.
  • Experience with generative AI applications and responsible AI practices.
  • Ability to document and version workflows and prompts.

Education

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

Tools

  • Microsoft Power Platform, Azure AI services, AWS (Bedrock, SageMaker), Docker, Kubernetes, Terraform, CI/CD tools (e.g., Bitbucket, Jenkins).
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