Job Summary:
Swift is the world’s leading provider of secure financial messaging services, headquartered in Belgium. They are seeking a Lead AI Enablement Engineer to collaborate on AI architecture, design scalable AI services, and integrate AI into the software delivery lifecycle.
Responsibilities:
• Collaborate with Enterprise Architecture and Security teams to define the AI architecture supporting the software development lifecycle, aligned with enterprise standards and governance.
• Design scalable, secure, and reusable AI services that integrate seamlessly with our developer platform.
• Evaluate and integrate AI solutions that improve developer productivity across planning, coding, testing, security, release management, and operations.
• Build production-grade integrations and proof-of-concepts using modern AI frameworks and APIs.
• Develop Agentic AI workflows to automate engineering activities while maintaining transparency, auditability, and human oversight.
• Design and implement MCP (Model Context Protocol) integrations enabling AI assistants to securely interact with enterprise tools and development platforms.
• Develop reusable services, SDKs, templates, and reference implementations that accelerate AI adoption.
• Contribute code and participate in architecture reviews and technical design discussions.
• Embed AI into the end-to-end software delivery pipeline, source control, testing, security scanning, documentation, and release processes.
• Drive automation opportunities using AI while respecting software quality and compliance requirements.
• Continuously evaluate emerging AI capabilities relevant to software engineering.
Qualifications:
Required:
• Collaborate with Enterprise Architecture and Security teams to define the AI architecture supporting the software development lifecycle, aligned with enterprise standards and governance.
• Design scalable, secure, and reusable AI services that integrate seamlessly with our developer platform.
• Evaluate and integrate AI solutions that improve developer productivity across planning, coding, testing, security, release management, and operations.
• Build production-grade integrations and proof-of-concepts using modern AI frameworks and APIs.
• Develop Agentic AI workflows to automate engineering activities while maintaining transparency, auditability, and human oversight.
• Design and implement MCP (Model Context Protocol) integrations enabling AI assistants to securely interact with enterprise tools and development platforms.
• Develop reusable services, SDKs, templates, and reference implementations that accelerate AI adoption.
• Contribute code and participate in architecture reviews and technical design discussions.
• Embed AI into the end-to-end software delivery pipeline, source control, testing, security scanning, documentation, and release processes.
• Drive automation opportunities using AI while respecting software quality and compliance requirements.
• Continuously evaluate emerging AI capabilities relevant to software engineering.
Company:
SWIFT is a member-owned cooperative through which the financial world conducts its business operations with speed, certainty and confidence. Founded in 1973, the company is headquartered in La Hulpe, BEL, with a team of 1001-5000 employees. The company is currently Late Stage.