The company runs AI forward deployed engineering work across SAP industry customers, with a focus on quality, security and lasting impact. This role sits in the Intelligent Operations group, which owns what happens after go-live.
You will build the platform infrastructure that keeps deployed AI solutions running at enterprise scale. The operations team is your main customer.
This is a technical leadership role in a capability being set up now. You will mentor engineers, define platform standards and shape the tooling strategy.
Skills linked to the role include agentic AI day-to-day practice, AI adoption, AI output quality assurance, context engineering, AI-assisted automation and prototyping, learning agility, collaboration, complex problem solving, creative thinking, effective communication, cloud architecture, observability, AI governance operations, agentic orchestration and scalability.
Responsibilities
Build monitoring, alerting and tracing for deployed AI agents and applications, covering model behaviour, agent orchestration health and business SLA metrics in one view.
Create CI/CD pipelines for production AI solutions across customer-managed and company-managed environments, so updates, patches and rollbacks are safe, repeatable and fast.
Design automation that provisions, configures and maintains production environments at scale, including those run by partners.
Define SLI and SLO frameworks for AI-native solutions, along with error budgets, incident response tooling and post-mortem processes that feed platform improvements.
Build automated compliance checks, access management and data boundary enforcement into the platform, and work with Engineering Excellence to keep the enterprise bar in every production environment.
Work with external partners, delivery squads and the platform teams behind the company's AI platform when infrastructure questions arise.
Requirements
You have built and run the platforms production systems depend on, including CI/CD pipelines, observability stacks and infrastructure automation.
You have deep experience with cloud-native architectures, distributed systems and reliability engineering.
You have worked in environments where security posture and compliance are baseline requirements.
You understand how AI-native solutions differ in production, including monitoring, failure modes and deployment patterns.
Experience with agentic systems, LLM-based applications or AI-enabled platform operations gives you a head start.
You build platform capabilities that scale without relying on heroics.
You work well across organisational boundaries and can set standards that other teams follow.
You have built platforms that other teams depend on, not just tools.
Conditions
You will work globally across FDE squads and hubs, with external delivery partners.
The company is committed to equal employment opportunity and offers accommodations to applicants with disabilities on request.
Referral program eligibility applies to permanent roles only.
Using AI in the recruitment process must follow the company's published guidelines, and violations may lead to disqualification.
Benefits
You get access to learning and development opportunities that build on the skills you bring.
The company offers flexible working models and a focus on health and well-being.
The company has over 50 years of experience in enterprise applications and business AI, serving finance, procurement, HR, supply chain and customer experience.