Additional Information
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 TO US
We are seeking a Lead AI Engineer to serve as a core builder within the SMBS AI team, working under the technical direction of the Director, AI Solutions. The Senior AI Engineer takes AI agent solutions from design through production - ensuring they are built to production-grade standards and integrate into the wider SimCorp AI ecosystem, infrastructure, and compliance frameworks.
With typically 5+ years of experience in production AI/ML engineering, this role is the hands-on delivery engine of the team - implementing agent logic, translating prioritised use cases into working solutions, and ensuring everything shipped meets the technical bar set by the Director. The focus is on speed with quality: moving from use case to production with a short time to market cycle, without compromising on reliability or maintainability.
The principle of ownership is clear: who builds it, maintains it. There are no handoffs between build and run. The Senior AI Engineer owns the agents they develop end-to-end - from implementation through production monitoring through iterative improvement based on operational feedback. The solutions you build are part of a larger ecosystem and must comply with the platform and integration standards that govern how AI is built across SimCorp.
WHAT YOU WILL BE RESPONSIBLE FOR
In your daily work, you will:
Build AI agent solutions from technical design through production deployment, following the solution framework and standards defined by the Director, AI Solutions.
Implement agent logic, prompt engineering, retrieval-augmented generation pipelines, and LLM API integrations.
Develop and execute testing strategies for agent behaviour, including edge case handling, accuracy validation, and performance testing.
Deliver production-ready agents within sprint timelines, managing technical complexity and communicating risks proactively.
Own agents in production, including monitoring, incident response, and iterative improvement.
Resolve bugs and address agent behaviour issues identified through operator feedback and usage tracking.
Adapt agents when underlying data sources, operational processes, or platform infrastructure changes require updates.
Participate in support rotations once multiple agents are live in production.
Participate in code reviews, both giving and receiving, to maintain code quality and shared technical understanding.
Support the Director, AI Solutions in evaluating new tools, frameworks, and approaches.
Mentor AI Engineers on implementation practices, debugging approaches, and production readiness.
Collaborate with Data Engineers to define data requirements and ensure agent data pipelines are reliable and performant.
WHAT WE VALUE
Strong proficiency in Python and modern development tooling.
Practical experience with LLM APIs, prompt engineering, RAG architectures, and vector databases.
5+ years of experience in software engineering with a focus on AI/ML, NLP, or data-intensive applications.
Experience deploying and maintaining AI/ML models or applications in production environments.
Ability to work autonomously on complex implementations while aligning with broader solution standards.
You take full ownership of what you build - you are not done when the agent is deployed, you are done when it works reliably in production.
You can communicate technical issues and agent behaviour clearly to non-technical operators and stakeholders.
Experience in financial services or operational environments is beneficial.
Simcorp · Noida, India