UMA

Senior AI Architect | Enterprise AI & Agentic Systems

In short

This role designs and builds scalable, secure, production-ready AI systems spanning data pipelines, retrieval architectures, model integration, and agent orchestration for an enterprise technology company operating in regulated environments. It requires 5+ years of experience in software engineering, ML engineering, or AI architecture, hands-on end-to-end AI system building, and strong knowledge of AI security, governance, and compliance. The job also involves developing APIs, evaluation frameworks, and architectural standards while working closely with technical and business teams.

Location
Texas, USA
Company
UMA is partnering with an innovative technology company that helps organisations make digital platforms more secure, intelligent, and reliable.
What you will do
•Design scalable AI architecture for applications across the organisation.
•Build and prototype AI systems, including data pipelines, retrieval architectures, model integration, and agent orchestration.
•Develop APIs and integration patterns for AI capabilities across products and internal systems.
•Contribute to model selection, evaluation, governance, and AI model strategy.
•Build evaluation frameworks to measure system quality, reliability, and safety.
•Embed security, compliance, auditability, architectural standards, and technical best practices into AI systems.
Requirements
•5+ years of experience in Software Engineering, Machine Learning Engineering, or AI Architecture.
•Hands-on experience designing and building AI systems end-to-end.
•Strong understanding of modern AI architecture, including data pipelines, retrieval systems, model integration, and deployment.
•Experience building software in enterprise or regulated environments.
•Understanding of AI security, governance, compliance, and auditability.
•Experience contributing to architectural decisions and technical standards.
•Strong communication skills and the ability to work across technical and business teams.
Nice to have
•Experience in financial services, digital identity, or fraud detection.
•Experience with AI agents, LLM orchestration, or agentic AI architecture.
•Experience with AI evaluation frameworks and production model monitoring.
•Knowledge of data protection and financial services regulations.
Culture & Benefits
•Join a talented engineering team working on meaningful technical challenges.
•Influence the future of AI capabilities and architectural decisions across the business.
•Work on AI systems designed for enterprise and regulated environments.

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