Lead AI Assets Manager

SimCorp

København

On-site

DKK 900,000 - 1,300,000

Full time

14 days+

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Job summary

SimCorp is seeking an experienced AI Enablement professional to join our AI Enablement team in Copenhagen. You will drive the development and governance of a centralized catalog of reusable AI components and prompts, enabling scalable AI across the organization.

You will collaborate with AI Solution Engineers, ensure standards, security, and compliance, and advocate best practices while shaping the future of enterprise AI at SimCorp.

Qualifications

  • 5+ years of experience in software development, AI/ML engineering, or a technical product management role.
  • Hands-on experience building and deploying AI applications, agents, or automation solutions in enterprise settings (Claude and Copilot preferred).
  • Strong knowledge of LLM-based architectures, prompt engineering, RAG, and AI agent frameworks.
  • Experience managing technical asset libraries, developer portals, or internal platforms with reuse-focused governance.
  • Proficiency in Python; APIs, Azure cloud, and enterprise AI tooling.

Responsibilities

  • Own development, curation, and distribution of a centralized catalog of reusable AI components and prompts.
  • Define and promote standards for reusable assets, with thorough documentation and versioning.
  • Collaborate with AI Solution Engineers to systematize reusable components from co-builds.
  • Manage catalog lifecycle: intake, review, tagging, publishing, deprecation, QA.
  • Act as a technical authority on AI patterns and best practices.
  • Coordinate with the Enterprise AI Foundation to ensure security and compliance.
  • Monitor usage and collect feedback to improve quality and relevance.
  • Share knowledge on development approaches, tooling, and best practices.

Skills

Software development
AI/ML engineering
Technical product management
AI applications
LLM architectures
Prompt engineering
Asset libraries
Versioning
Documentation
Testing
Lifecycle management
Agile environments
Builder mentality
English fluency

Tools

Python
APIs
Microsoft Azure
Enterprise AI tooling

Job description

What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading!

Why this role is important for us

The AI Enablement team is a newly established, cross-functional team within SimCorp that builds organizational capability and accelerates AI adoption across all business functions. We partner with functional leaders to deliver AI literacy programmes, co-build sophisticated AI solutions, manage reusable component libraries, and drive value measurement across the enterprise.

What you will be responsible for
  • Own the development, curation, and distribution of a centralized catalog of reusable AI components - including prompt libraries, agent templates, skills, workflow blueprints, and integration patterns - to enable efficient scaling of AI across SimCorp.
  • Define and promote standards and governance for reusable assets, ensuring components are well-documented, version-controlled, tested, and fit for purpose across different functional contexts.
  • Collaborate with AI Solution Engineers to identify components built during co-build engagements that have reuse potential, and systematize their productization.
  • Manage the lifecycle of the component catalog: intake, review, tagging, publishing, deprecation, and quality assurance.
  • Act as a technical authority on AI development patterns, advising the team and business functions on best practices for building scalable and maintainable AI solutions.
  • Work with the enterprise AI Foundation area to ensure all catalog components adhere to infrastructure, security, and compliance standards.
  • Monitor usage and impact of catalog components; gather feedback from functions to continuously improve quality and relevance.
  • Contribute to the broader AI Enablement community by sharing knowledge on development approaches, tooling, and emerging best practices.
What we value
  • 5+ years of experience in software development, AI/ML engineering, or a technical product management role.
  • Practical experience building and deploying AI applications, agents, or automation solutions in an enterprise setting (especially with Claude and Copilot).
  • Strong understanding of LLM-based architectures, prompt engineering, MCP server, retrieval-augmented generation (RAG), and AI agent frameworks.
  • Experience managing technical asset libraries, developer portals, or internal platforms with a focus on reuse and standardization.
  • Solid understanding of software development best practices including versioning, documentation, testing, and lifecycle management.
  • Proficient in Python; experience with APIs, cloud platforms (ideally Microsoft Azure), and enterprise AI tooling.
  • Strong communication skills; able to engage both technical and non-technical stakeholders clearly and effectively.
  • Experience working in agile environments with a pragmatic, builder mentality.
  • Fluent English; additional languages are a plus.
  • Exposure to the investment management or financial services industry is beneficial.

At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.

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