Lead AI Consultant

Who we are

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 is important to us

This role is a unique opportunity for professionals who thrive on innovation, collaboration, and strategic impact. As the Lead AI Consultant, you'll be the central driver of success-owning the design and deployment of AI solutions, coordinating across diverse business and technical teams, and serving as the trusted advisor to stakeholders. By bridging advanced technology with business needs, you'll translate complex challenges into practical AI use cases that deliver measurable value. Your leadership will consolidate efforts across design, build, and testing streams, ensuring that every solution is robust, scalable, and aligned with enterprise standards. This position is perfect for candidates who want to contribute meaningfully, guide both technical and business outcomes, and help advance AI adoption in enterprise environments. By providing clear reporting, risk analysis, and scope management, you'll empower stakeholders with confidence and clarity. Ideal for individuals who want to help shape both technical and business priorities, drive measurable outcomes, and grow in a responsive workplace that rewards initiative.

What you will be responsible for

• Develop and own an AI concept for significantly improving ASH processes over outreach, mapping, and testing
• Collaborate with both ASH PD and ASH Service Execution to ensure the ASH target operating model aligns with the target AI architecture
• Design and implement AI agents that can execute multi-step workflows, use tools, and operate with appropriate human oversight
• Build and maintain RAG-based solutions over internal knowledge sources, documentation, operational procedures, and integration-related content
• Integrate 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 closely 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 to reusable engineering patterns, internal standards, and best practices for enterprise AI development

What we value

• 3+ years experience in designing agentic workflows
• 5+ years of experience in software engineering, backend engineering, or integration engineering, with 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/conversational AI solutions
• Experience in prompt engineering and AI response optimization, designing AI-driven workflows, and using AI for document processing, classification, and decisioning
• Additional capabilities Practical experience with Microsoft Copilot Studio or Anthropic Claude, Power Automate (cloud flows, AI Builder, approvals, integrations), or Power Apps (basic to intermediate) Experience integrating AI/ML models (e.g., Azure OpenAI, GPT APIs) Good understanding of REST APIs, JSON, and system integrations, as well as data sources like Snowflake, Dataverse, SharePoint, SQL Experience with structured data formats such as XML, CSV, 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

Other requirements (Primary)

• APAC with flexibility in EMEA hours (depending on business needs)
• Hybrid working arrangement (2x a week in office)

By Joining our team, you will h