Forward Deployed Application/ML Engineering Expert

SAP; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

SAP is seeking a professional to design, build, and operate AI-native enterprise applications that integrate machine learning and agentic AI capabilities. This role involves close collaboration with customers to deliver secure and reliable solutions for complex business challenges.

The ideal candidate will have extensive experience in application engineering, a deep understanding of AI/ML, and the ability to manage the entire application lifecycle from prototyping to deployment.

Qualifications

• Extensive hands-on experience in software and application engineering for cloud-native environments.
• Proven ability to design and deliver AI-native applications utilizing large language models.
• Strong proficiency in widely used AI/ML Python libraries and frameworks.

Responsibilities

• Design, develop, and operate production-grade cloud-native applications with AI capabilities.
• Translate business requirements into robust application architectures.
• Rapidly prototype and productionize solutions in customer environments.

Skills

Software and application engineering experience in cloud-native environments

Design and deliver AI-native applications

Proficiency in AI/ML Python libraries

Understanding of data pipelines and MLOps

Integrating AI in complex business processes

Architectural skills in cloud platforms

Cross-functional team collaboration

Proactive approach to leveraging AI

Job description

In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities embedded directly within customer environments and fast-moving delivery teams. You work closely with customers to translate ambiguous business and operational requirements into secure, scalable, and reliable solutions, solving complex real‑world business problems at speed while owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope. Working closely with product, data, ML, and customer teams, you apply modern AI‑assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption.

What You Bring

• 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 to innovate enterprise workflows.
• Strong proficiency in widely used AI/ML Python libraries and frameworks.
• 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.
• Solid architectural foundation across cloud platforms, distributed systems, scalability, security, and reliability.
• Experience owning solutions across the full application lifecycle, from design and implementation to deployment and production operations.
• Ability to work effectively with cross‑functional teams and customer stakeholders, communicating complex technical topics clearly.
• Learning mindset, technical leadership, and accountability in high‑impact, ambiguous environments.
• You demonstrate a proactive approach to leveraging AI in everyday workflows, ensuring high‑quality outputs through thoughtful context design and system integration.

What You Build

• Design, develop, and operate production‑grade, cloud‑native enterprise applications integrating AI capabilities such as large language models, retrieval‑augmented generation, and agent‑based workflows.
• Embed directly into customer projects and fast‑moving cross‑functional teams to rapidly 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 and reusable assets 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 within scope.
• Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade‑offs, and progress.
• Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.