4 months ago
Manila, PhilippinesStaff+
Responsibilities
- Own an AI concept for improving ASH outreach, mapping, and testing processes.
- Align the ASH target operating model with the target AI architecture in collaboration with ASH PD and ASH Service Execution.
- Design and implement AI agents capable of multi-step workflows, tool use, and human oversight.
- Build and maintain RAG-based solutions over internal knowledge sources, documentation, procedures, and integration content.
- Integrate LLM capabilities with enterprise systems using APIs, databases, structured files, and automation services.
- Develop production-grade Python backend services, including API layers, orchestration, validation, and error handling.
- Evaluate and improve AI solution quality through testing, monitoring, observability, regression checks, and output evaluation.
- Translate stakeholder pain points into practical AI use cases with measurable value.
- Support secure and responsible AI deployment, including governance, privacy, and operational risk awareness.
- Contribute reusable engineering patterns, internal standards, and enterprise AI best practices.
Requirements
- At least 3 years of experience designing agentic workflows.
- At least 5 years of software engineering, backend engineering, or integration engineering experience with production delivery.
- Experience with buy-side 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, and chatbot or conversational AI solutions.
- Experience with prompt engineering, AI response optimization, AI-driven workflows, and AI-supported document processing, classification, and decisioning.
- Practical experience with Microsoft Copilot Studio or Anthropic Claude, Power Automate, or Power Apps.
- Experience integrating AI/ML models such as Azure OpenAI and GPT APIs.
- Understanding of system integrations, JSON, data sources such as Snowflake, Dataverse, SharePoint, and SQL, and structured formats such as XML and CSV.
- Solid proficiency in Python for application development, integration, and automation.
- Experience with monitoring, evaluation, debugging, and production-system reliability.
- Availability for APAC work with flexibility for EMEA hours depending on business needs.
Benefits
- Hybrid working arrangement requiring two days per week in the office.
- Learning and development opportunities supported by SimCorp’s learning guild.
- Collaborative, inclusive, and diverse workplace environment.
- Opportunity to work with skilled colleagues and contribute to enterprise AI adoption.
- The role is associated with SimCorp’s Manila Delivery Center, which is certified as a Great Place To Work.
Categories
About SimCorp
SimCorp builds SimCorp Dimension, a front-to-back investment management platform and managed services used by buy-side institutions such as asset managers, pension funds, and insurers. It sells software licenses and cloud-delivered operations (SaaS/managed services) covering portfolio management, trading, risk, accounting, and reporting. Founded in 1971 and headquartered in Copenhagen, it is a subsidiary of Deutsche Börse Group and reports serving 40 of the world’s top 100 financial companies.