Lead technical architecture and implementation of client solutions involving custom software, cloud applications, APIs, enterprise integrations, automation, and AI-enabled capabilities.
Responsibilities
Lead the technical architecture and implementation of client solutions involving custom software, cloud applications, APIs, enterprise integrations, automation, and AI-enabled capabilities.
Work directly with clients to understand their business processes, existing systems, technical constraints, and desired outcomes.
Serve as a trusted technical advisor to clients, communicating architectural decisions, tradeoffs, project risks, and technical recommendations.
Maintain hands-on involvement in software engineering, including architecture, prototyping, code reviews, complex integrations, troubleshooting, and resolving difficult technical challenges.
Evaluate solution approaches across custom development, Microsoft Azure, Power Platform, automation tools, existing enterprise platforms, and hybrid architectures.
Lead Engineer providing technical leadership within the Service Operations Engineering squad, shaping engineering standards and practices across multiple teams.
Responsibilities
Provide technical leadership and mentorship
Shape engineering culture and standards
Drive consistency and best‑practice approaches
Guide technical decision‑making
Partner with stakeholders to deliver resilient, scalable, customer‑focused solutions
Design, document, and implement APIs and technical specifications for SNCB-NMBS commercial channels and products, collaborating with Solution Architects and development teams.
Compensation
competitive salary, target bonus
Responsibilities
Gather requirements and conduct feasibility studies
Translate business needs into technical specifications
Own the engineering and integration layer of AI capabilities into the software delivery toolchain, ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams
Responsibilities
Collaborate closely with AI Product Engineers and platform teams to define and scope opportunities for AI-driven innovation
Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value
Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness
Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as CI/CD, observability, and developer workplace
Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices
Requirements
Master or Bachelor in Computer Science or a related area, or proven relevant working experience
Own the engineering and integration layer of AI capabilities into the software delivery toolchain, ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams
Responsibilities
Collaborate closely with AI Product Engineers and platform teams to define and scope opportunities for AI-driven innovation
Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value
Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness
Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as CI/CD, observability, and developer workplace
Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices
Requirements
Master or Bachelor in Computer Science or a related area, or proven relevant working experience
Lead technical advisor and solution architect for enterprise CLM platform, owning end-to-end solution design, implementation, integration, and operations.
Responsibilities
Translate complex business requirements into practical end-to-end solutions
Architect and govern integrations across CLM, ERP, CRM, Data & AI platforms
Partner closely with Data & AI teams on contract metadata and analytics
Design for enterprise scalability and future expansion
Take end-to-end technical and operational ownership across design, build, migration, deployment, stabilization, production support
Requirements
Bachelor’s Degree in Computer Science, Engineering, Information Technology, or a related STEM discipline
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