As an SAP FI/CO Solution Architect, you will lead the design of SAP Finance solutions. Collaborate on complex transformations for SAP S/4HANA in a global context.
RB
AI-Native Solutions Engineer, Finance Transformation – Solution Architecture
Posted 5 days ago
About the role
- AI-Native Solutions Engineer developing AI-native solutions for finance transformation and modernization initiatives. Working with teams to drive innovation and modern engineering practices.
Responsibilities
- Design and build AI-native products, services, and internal platforms using modern agentic development workflows and automation-first principles.
- Architect scalable, maintainable, and AI-enabled solutions that support enterprise finance transformation and modernization initiatives.
- Design systems that automate testing and validation, deployment, infrastructure provisioning, observability, operational workflows, incident response, governance, and lifecycle management.
- Build self-service and self-healing operational capabilities that reduce manual operational toil and improve engineering effectiveness.
- Leverage LLMs, agentic coding systems, orchestration frameworks, and AI-assisted workflows daily to accelerate delivery velocity, improve quality, and continuously optimize engineering processes.
- Embed Generative AI and automation capabilities into engineering and operational platforms to enable seamless and intelligent workflows across teams.
- Operate fluidly across multiple domains including solution architecture, business analysis, product ownership, frontend engineering, backend engineering, AI/ML integration, UX/UI, DevOps, QA automation, platform engineering, and operational enablement.
- Collaborate with teams across the organization to catalyze innovation, accelerate adoption of modern development practices, and establish AI-native engineering methodologies.
- Mentor and guide teams on automation-first thinking, agentic AI tooling, and modern software delivery practices.
- Contribute to enterprise architectural standards, engineering patterns, modernization strategies, and platform evolution initiatives that improve scalability, maintainability, resiliency, and organizational agility.
Requirements
- Strong hands-on software engineering and solution architecture experience across modern distributed systems and enterprise platforms.
- Experience using AI-assisted and agentic development workflows as a core part of daily engineering activities.
- Strong understanding of Generative AI, LLM ecosystems, agentic frameworks, context and memory management, orchestration systems, retrieval-augmented generation (RAG), and tool integration patterns.
- Experience designing automation-first engineering and operational systems including CI/CD, infrastructure automation, observability, deployment automation, operational tooling, and self-service platforms.
- Strong product ownership mindset with the ability to independently move initiatives from concept to operational reality.
- Experience operating across multiple technical domains including frontend engineering, backend engineering, APIs, cloud infrastructure, DevOps, platform engineering, QA automation, and UX/UI.
- Strong systems thinking and the ability to work effectively across technical and organizational boundaries.
- Excellent communication, collaboration, mentoring, and problem-solving skills.
- Curiosity, adaptability, and a continuous learning mindset with the ability to rapidly learn new domains, technologies, and workflows.
- Embraces an AI-first approach: Someone who actively incorporates AI tools, agentic systems, and automation technologies into daily workflows to enhance productivity, reduce operational friction, streamline delivery, and improve outcomes across the product and service lifecycle.
- Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to engineering, operational, and organizational challenges.
Benefits
- Access to modern AI tooling, agentic engineering workflows, and advanced platform technologies
- Leaders who support your development through coaching, innovation opportunities, and meaningful technical ownership
- Flexible career growth opportunities across architecture, engineering, AI, platform modernization, and enterprise transformation initiatives
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