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Forward Deployed Application/ML Engineering Expert

SAP
Dubai, UAE
Full-time
Entry
Onsite
Discovered 5 days ago
Cloud-native enterprise application engineeringSoftware architecture, scalability, security, and reliabilityLarge language modelsRetrieval-augmented generation (RAG)Vector databasesAgentic AI systems and workflows

Full Job Posting

Role overview

Design, build, and operate AI-native enterprise applications combining cloud-native software engineering, production-grade ML, and agentic AI.

Solutions are embedded in customer environments and delivery teams; the role owns technical delivery from discovery and prototyping through deployment, stabilization, and handover.

Responsibilities

  • Build production-grade cloud-native applications using LLMs, RAG, vector databases, and agent-based workflows.
  • Work with customer project teams to understand business processes, technical landscapes, and operational challenges.
  • Translate business needs into robust architectures balancing speed, quality, security, and maintainability.
  • Prototype and productionize solutions in customer environments, adapting reference architectures to enterprise constraints.
  • Own delivery through deployment, observability, production operations, and handover.
  • Apply AI-assisted engineering, evaluation frameworks, and architectural guardrails; manage risks, milestones, and technical escalations.
  • Communicate approaches, trade-offs, and progress with customers and internal stakeholders.
  • Contribute engineering standards, best practices, and reusable components.

What you bring

  • Extensive hands-on software and application engineering experience in cloud-native, enterprise, and SaaS environments; knowledge of scalability, security, and reliability.
  • Proven AI-native application delivery using LLMs, RAG, vector databases, and agentic systems.
  • Strong proficiency in AI/ML Python libraries and frameworks; exposure to data pipelines and MLOps.
  • Ability to integrate agentic AI responsibly into complex business processes and own solutions through production operations.
  • Strong problem-solving, critical thinking, collaboration, and communication; exposure to design thinking.
  • Ability to mentor teams, establish development guardrails and best practices, and contribute to engineering culture.
  • Technical leadership, accountability, and a learning mindset in high-impact, ambiguous settings.

Advantageous experience

  • Experience with SAP AI Core, Vectorization, Joule Studio, RPT-1, or Business Data Cloud is a strong advantage.
  • The role values customer focus and proactive use of AI in everyday workflows.

Team context

Join a growing AI and industry expert team serving customers across the Americas, Europe, and Asia.

The team combines AI expertise, industry knowledge, and regional understanding to turn complex business challenges into practical, scalable solutions.

Work and travel

  • The work involves embedding in customer projects and environments; expected travel is 0–10%. No specific workplace policy is stated.

Employment

  • Employment type is stated as Regular Full Time.

Recruitment notes

  • Successful candidates may be required to undergo a background verification.
  • Candidates may request accessibility accommodations through SAP Recruiting Operations.

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