Summary
✨ AI‑Generated
An AI engineering role focused on building intelligent applications using modern AI technologies, enterprise data, cloud platforms, and automation frameworks.
Highlights
Opportunity to develop advanced AI solutions, intelligent workflows, and scalable systems for business-critical applications.
Description
We are partnering with a leading organization operating at the center of the financial markets ecosystem as they continue to invest in advanced artificial intelligence capabilities.
As part of a newly formed innovation team, they are seeking an experienced AI Engineer to help shape and deliver next-generation AI solutions that support business-critical operations and decision-making.
Key Responsibilities
Lead the design, development, and deployment of sophisticated AI-powered applications and intelligent workflow solutions.Build systems that leverage large language models, enterprise data, and external tools to automate complex business processes.Develop scalable frameworks for workflow orchestration, model interactions, and decision-support capabilities.Design and enhance cloud-based infrastructure to support AI application delivery and performance.Establish controls and validation mechanisms to improve reliability, transparency, and trust in AI-generated outputs.Create monitoring, auditing, and review processes that support operational oversight and accountability.Collaborate with technical and business stakeholders to identify opportunities for AI-driven transformation and efficiency.Drive engineering excellence through architecture reviews, technical leadership, and mentoring of fellow engineers.Contribute to the evolution of development standards, platform capabilities, and long-term technology strategy.Support performance optimization, operational readiness, and continuous improvement of deployed solutions.
Technical Skills
Advanced Python development experience building scalable software applications.Strong SQL skills and understanding of modern application architecture, APIs, and distributed systems.Hands-on experience developing solutions powered by large language models, conversational AI, or intelligent automation technologies.Experience deploying and supporting applications within cloud environments, ideally AWS.Knowledge of AI quality, reliability, security, and governance principles.Experience integrating AI capabilities with enterprise platforms, APIs, data sources, and business systems.Familiarity with workflow automation, tool integrations, and modern AI application frameworks.Experience with Docker, CI/CD pipelines, infrastructure automation, and cloud-native engineering practices.Exposure to Kubernetes, Terraform, or other infrastructure management technologies.Understanding of model evaluation, testing, monitoring, and operational support for AI-driven applications.Experience working with complex, high-availability systems where reliability and quality are critical.Strong communication skills with the ability to engage technical and non-technical stakeholders effectively.
