Lead AI Enablement Engineer – Software Delivery Lifecycle & Developer Platform

About Us

We’re the world’s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value – across borders, through cities and overseas. No other organization can address the scale, precision, pace and trust that this demands, and we’re proud to support the global economy. We’re unique too. We were established to find a better way for the global financial community to move value – a reliable, safe and secure approach that the community can trust, completely. We’re always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant.

Key Responsibilities

• Solution Architecture and Design
• 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.
• Engineering & Delivery
• 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.
• SDLC Enablement
• Enable 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.

Pay

The estimated salary range for a new hire into this position in Virginia is $121,564 USD Annual to $225,762 Annual USD. Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location.

Benefits

• Our compensation packages include a competitive base salary and bonus opportunity for all employees contingent on personal and company performance.
• We offer a generous benefits program including medical, dental, vision and life insurance with no premium costs for our employees and their families, and a retirement plan plus matching 401k.