Lead AI Assets Manager

SimCorp

Lead AI Assets Manager enabling the scaling of AI capabilities at SimCorp. Owning the development and distribution of reusable AI components and managing standards and governance across the enterprise.

Posted 7/23/2026full-timeBad Homburg • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI component development and management, with a strong focus on LLM-based architectures, prompt engineering, and compliance standards. Proficient in Python and experienced in agile environments, ensuring effective collaboration with both technical and non-technical stakeholders.

Highest-signal resume keywords

AI/ML EngineeringPython ProficiencyLLM-Based ArchitecturesAgile MethodologiesTechnical Product Management

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI Application DevelopmentPrompt EngineeringMCP ServerRetrieval-Augmented GenerationAPI DevelopmentCloud PlatformsVersioningDocumentationTesting

Soft Skills

Strong Communication SkillsCollaborationEngagement with Stakeholders

Tools & Technologies

Microsoft AzureEnterprise AI ToolingDeveloper Portals

Industry Keywords

Reusable AI ComponentsComponent Catalog ManagementGovernance StandardsQuality AssuranceLifecycle Management

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Own the development, curation, and distribution of a centralized catalog of reusable AI components
Define and promote standards and governance for reusable assets
Collaborate with AI Solution Engineers to identify components built during co-build engagements
Manage the lifecycle of the component catalog: intake, review, tagging, publishing, deprecation, and quality assurance
Act as a technical authority on AI development patterns
Work with the enterprise AI Foundation area to ensure adherence to infrastructure, security, and compliance standards
Monitor usage and impact of catalog components
Contribute to the broader AI Enablement community by sharing knowledge

Requirements

What you’ll need

5+ years of experience in software development, AI/ML engineering, or technical product management role
Practical experience building and deploying AI applications, agents, or automation solutions in an enterprise setting
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
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.

Benefits

Comp & perks

Skilled and supportive colleagues
Opportunities for professional development
Work with prestigious financial clients