Forward Deployed Application/ML Engineering Expert

Job Summary

Design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities. You will embed directly within customer environments and delivery teams, translating business requirements into secure, scalable solutions while owning technical delivery from discovery through deployment and handover.

Responsibilities

• Design, develop, and operate production-grade cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.
• Embed directly into customer projects and cross-functional teams to understand business processes, technical landscapes, and operational challenges.
• Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.
• Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures to real-world enterprise constraints.
• Own application delivery end-to-end from problem framing and prototyping through deployment, observability, and production operations.
• Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.
• Ensure delivery milestones, quality standards, and technical objectives are met, proactively managing risks and technical escalations.
• Act as a key technical interface to customers and internal stakeholders, communicating solution approaches, trade-offs, and progress.

Requirements

• Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.
• Proven ability to design and deliver AI-native applications utilizing large language models, RAG architectures, vector databases, and agentic systems.
• Strong proficiency in widely used AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices.
• Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations.
• Strong problem-solving skills, critical thinking, and exposure to design thinking practices; proven ability to mentor teams and establish development guardrails and best practices.
• Experience owning solutions across the full application lifecycle from design and implementation to deployment and production operations.
• Strong collaboration and communication skills to work effectively with cross-functional teams and customer stakeholders on complex technical topics.
• Learning mindset, technical leadership, and accountability in high-impact, ambiguous environments.
• Exposure to SAP AI technologies such as SAP AI Core, Vectorization, Joule Studio, RPT-1, and Business Data Cloud is a strong advantage.
• Ability to proactively leverage AI in everyday workflows to ensure high-quality outputs.

What the company offers

• Constant learning and skill growth opportunities.
• Great benefits and flexible working models.
• Collaborative, high-impact team environment dedicated to serving customers across the Americas, Europe, and Asia.
• Culture of inclusion and focus on health and well-being.

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