Forward Deployed Application/ML Engineering Expert (Dubai, Dubai, AE, 118353)

SAP
Dubai
Workplace: HybridFull timeFunction: SalesSkills: ["Problem-solving","Critical thinking","Communication","Collaboration","Accountability"]

Design, build, and operate AI-native, cloud-native enterprise applications embedded in customer environments and fast-moving delivery teams. Translate ambiguous business needs into secure, scalable solutions, owning technical delivery end-to-end from discovery and prototyping through deployment, observability, and production operations. Develop applications integrating LLMs, RAG, and agent-based workflows, apply architectural guardrails and evaluation frameworks for trustworthy AI adoption, and serve as a key technical interface to stakeholders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Application/ML Engineering Expert (Dubai, Dubai, AE, 118353)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, and operate AI-native, cloud-native enterprise applications embedded in customer environments and fast-moving delivery teams. Translate ambiguous business needs into secure, scalable solutions, owning technical delivery end-to-end from discovery and prototyping through deployment, observability, and production operations. Develop applications integrating LLMs, RAG, and agent-based workflows, apply architectural guardrails and evaluation frameworks for trustworthy AI adoption, and serve as a key technical interface to stakeholders.
Location: Dubai
Workplace: Hybrid
Employment Type: Full time
Job Function: Sales
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operate production-grade cloud-native enterprise applications integrating AI capabilities such as LLMs, RAG, and agent-based workflows.
  • •Embed into customer projects and fast-moving cross-functional teams to understand business processes, technical landscapes, and operational challenges.
  • •Translate business and product requirements into secure, scalable application architectures, balancing speed, quality, security, and maintainability.
  • •Prototype, iterate, productionize, and run application delivery end-to-end through deployment, observability, and production operations.
  • •Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality AI solutions.
Travel: Low travel

Key Requirements

  • •Extensive hands-on experience in software/application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of scalability, security, and reliability.
  • •Proven ability to design and deliver AI-native applications using large language models, RAG architectures, vector databases, and agentic systems.
  • •Strong proficiency in AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices.
  • •Experience embedding solutions into complex customer projects and fast-moving cross-functional teams, translating requirements into robust application architectures.
  • •Ability to mentor teams and establish development guardrails and best practices while driving engineering culture.
Experience:Enterprise SaaSCloud-nativeAI/MLMLOps
Skills:Problem-solvingCritical thinkingCommunicationCollaborationAccountability
Tech Stack:PythonLarge language modelsLLMsRetrieval-augmented generation (RAG)RAGVector databasesAgentic systemsAgent-based workflowsMLOpsObservabilityCloud-native

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor