Application Engineer- Intelligent Operations (10-20 yrs.)

SAP; Bengaluru; Sur place; INR 3 500 000 - 6 000 000; Plein temps

Résumé du poste

SAP SE in Bengaluru seeks a production operations specialist to define how AI-native deployments are governed, monitored, and kept healthy after go-live. You will own production readiness criteria and build end-to-end monitoring and incident response for AI solutions.

You will drive AI quality assurance in production, address drift, and establish security and data governance across customer engagements, collaborating with global teams in a rapidly evolving SAP AI program.

Qualifications

• Hands-on experience with LLM-based systems, agentic workflows, observability, and incident management in cloud production environments.
• Ability to detect drift in agentic application behaviour and build monitoring frameworks, playbooks, and operational standards.

Responsabilités

• Own the handover framework for engagements transitioning from delivery to production, defining what production-ready means before your team takes ownership.
• Build monitoring, alerting, and incident response capability for deployed AI solutions so SLA commitments are met by design.
• Establish AI quality assurance practices in production — drift detection, benchmarking, guardrails validation, and retraining triggers for LLM and agentic systems.
• Define best practices for production security, data boundaries, and compliance across customer engagements, and build self-healing capabilities into the operational model.
• Design the operational model to scale — tooling, automation, and partner integration so every new go-live builds on what came before.
• Work with the Knowledge & IP team to feed operational learnings back into the delivery lifecycle so each collaboration starts stronger.

Connaissances

LLM-based systems

Observability & incident management

AI quality assurance

Security & compliance

CI/CD tooling & automation

Description du poste

Job Description

Intelligent Operations | CIS FDE Technology & Operations

What You'll Build

You will build Intelligent Operations from the ground up — defining how AI-native deployments are governed, monitored, and kept healthy after go-live.

• Own the handover framework for engagements transitioning from delivery to production, defining what "production-ready" means before your team takes ownership.
• Build monitoring, alerting, and incident response capability for deployed AI solutions so SLA commitments are met by design.
• Establish AI quality assurance practices in production — drift detection, benchmarking, guardrails validation, and retraining triggers for LLM and agentic systems.
• Define best practices for production security, data boundaries, and compliance across customer engagements, and build self-healing capabilities into the operational model.
• Design the operational model to scale — tooling, automation, and partner integration so every new go-live builds on what came before.
• Work with the Knowledge & IP team to feed operational learnings back into the delivery lifecycle so each collaboration starts stronger.

What You Bring

You are a production operations expert who keeps AI-native solutions running in enterprise environments where uptime, data boundaries, and service level agreements (SLAs) are non-negotiable.

• Hands‑on experience with Large Language Model (LLM)-based systems, agentic workflows, observability, and incident management in cloud production environments.
• Ability to detect drift in agentic application behaviour and build the monitoring frameworks, playbooks, and operational standards a growing team can follow.
• Deep experience with AI quality assurance in production — drift detection, performance benchmarking, guardrails validation, and retraining triggers for LLM and agentic systems.
• Background in regulated or enterprise‑grade settings where application security, data boundaries, compliance, and operational governance are foundational requirements.
• Track record designing scalable operational models using tooling, automation, CI/CD practices, and partner integration across multiple customer engagements.
• Degree not required for this role.

We also look for people who think strategically, understand the business, and can bring others along with them — combining influencing skills and emotional intelligence with the ability to work through complex problems confidently.

In addition to the skills and experience specific to this role, all positions at SAP require candidates who are comfortable using AI tools — including agentic AI — in their day‑to‑day work, from crafting effective inputs and automating routine tasks, to evaluating AI‑generated outputs for quality and advancing adoption of AI practices within their teams.

Where you belong

Technology & Operations is the engineering backbone of CIS Forward Deployed Engineering (FDE), ensuring quality, security, and lasting impact across AI engagements for SAP's industry customers. You will position in the Intelligent Operations pillar — the part of the team that owns what happens after go‑live. You will mentor engineers, set operational standards, and build the technical capabilities of a team being assembled now. The role spans FDE squads and hubs globally, external delivery partners, and direct customer interaction when production demands it — based at SAP Labs India Innovation Park in Devanahalli, Bangalore.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non‑merit factor.

Additional Information

About SAP

With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business‑critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion

SAP’s culture of inclusion, focus on health and well‑being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: [e-mail].

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

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.