Senior AI Solutions Engineer with Python

Are you passionate about moving beyond AI experimentation and building real-world, production-ready AI applications? We are looking for an AI Solutions Engineer to design and deploy intelligent, agentic workflows. In this role, you won’t just work with models — you will build the systems that automate exception handling, data classification, decision-making, and reporting.

Working closely with our operations teams, you will turn complex manual business processes into seamless, automated cognitive workflows, directly reducing manual effort and driving operational efficiency.

Responsibilities

• Design and implement AI-powered agents to handle triage, categorization, and decision support for natural-language exceptions and vendor-submitted issues
• Develop sophisticated natural language matching and classification logic to identify and resolve data quality and reporting anomalies
• Collaborate closely with Regulatory Operations (Reg Ops) and business stakeholders to map out current workflows, identify cognitive bottlenecks, and translate them into technical automation
• Take ideas from initial Proof of Concept (PoC) all the way to robust, scalable production-ready LLM applications
• Support long-term initiatives, including rule-text interpretation, sourcing/transformation logic, and automated code-generation

Requirements

• Hands-on experience developing and deploying AI applications (not just querying APIs or experimenting in notebooks)
• Strong experience with Python, LangChain, Cloud Technologies and LLM-based application development
• Proven experience implementing and optimizing RAG (Retrieval-Augmented Generation) solutions
• Outstanding ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows
• Ability to support agentic roadmap work from initial classification through action-taking workflows
• English proficiency at an Upper-Intermediate level (B2) or higher