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SimCorp

Provides integrated investment management software

Lead AI Consultant

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeManila, Metro Manila, PhilippinesNo salary listed

About the Job

Requirements

  • At least 3 years of experience designing agentic workflows.
  • At least 5 years of experience in software engineering, backend engineering, or integration engineering, including extensive practical delivery in production environments.
  • Experience in the buy side around trading and post-trade processes.
  • Exposure to AI governance or responsible AI controls in enterprise environments.
  • Experience with cloud AI services, containerization, or deployment platforms such as Docker and managed AI services, as well as building chatbots or conversational AI solutions.
  • Experience in prompt engineering and AI response optimization, designing AI-driven workflows, and using AI for document processing, classification, and decisioning.
  • Practical experience with Microsoft Copilot Studio or Anthropic Claude, Power Automate (cloud flows, AI Builder, approvals, integrations), or Power Apps at a basic to intermediate level.
  • Experience integrating AI/ML models such as Azure OpenAI and GPT APIs.
  • Good understanding of REST APIs, JSON, and system integrations, as well as data sources such as Snowflake, Dataverse, SharePoint, and SQL.
  • Experience with structured data formats such as XML, CSV, and file-based interfaces, and enterprise workflow automation.
  • Solid proficiency in Python for application development, integration, and automation.
  • Practical experience with monitoring, evaluation, debugging, and reliability in production systems.

Responsibilities

  • Develop and own an AI concept for significantly improving ASH processes over outreach, mapping, and testing.
  • Collaborate with ASH PD and ASH Service Execution to ensure that the ASH target operating model aligns with the target AI architecture.
  • Design and implement AI agents that execute multi-step workflows, use tools, and operate with appropriate human oversight.
  • Build and maintain retrieval-augmented generation (RAG)-based solutions over internal knowledge sources, documentation, operational procedures, and integration-related content.
  • Integrate large language model (LLM)-powered capabilities with enterprise systems and workflows using APIs, databases, structured files, and automation services.
  • Develop production-grade backend services in Python, including API layers, orchestration logic, validation, and error handling.
  • Evaluate and improve AI solution quality through testing, monitoring, observability, regression checks, and output evaluation.
  • Work with business stakeholders to translate operational pain points into practical AI use cases with measurable value.
  • Support secure and responsible deployment of AI solutions, including governance, privacy, and operational risk awareness.
  • Contribute reusable engineering patterns, internal standards, and best practices for enterprise AI development.

About the Company

SimCorp

Provides integrated investment management software

SimCorp provides integrated software for the financial industry, offering a comprehensive suite of investment management solutions that support processes such as portfolio management, risk management, and accounting. Its products help large financial institutions streamline operations, control risks, and improve investment performance by delivering an end-to-end platform that covers front-, middle-, and back-office functions. The company differentiates itself through its scale and reach after being acquired by Deutsche Börse Group in 2024 and through the merger with Axioma, which added risk management and portfolio optimization capabilities to its offering. SimCorp’s goal is to provide a unified, reliable platform that helps clients manage investments efficiently while maintaining strong service and support.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Copenhagen, Denmark
Founded
1971

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