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Salary
≈ $47k – $105k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Architect · 5+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match

SAP

SAP is a German software company founded in 1972 by five former IBM engineers and headquartered in Walldorf, and it is the world's largest vendor of enterprise resource planning software. Its systems run the finance, procurement, manufacturing, logistics and human resources processes of a large share of global commerce, with the in-memory S/4HANA suite at the centre and specialised clouds such as SuccessFactors, Ariba and Concur around it. The company is midway through moving its installed base from on-premise licences to cloud subscriptions, and it embeds its Business AI assistant Joule across the portfolio to automate routine enterprise work.

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

  • Grounded AI for the quoting workflow.Design and ship AI-driven features that support Account Executives directly as they configure, price, and close complex deals: automation, decision support, and guardrails grounded in the platform's own pricing and configuration reasoning.Getting that grounding right is the core technical assignment, not an afterthought.

  • AI that slots into an enterprise platform.Build AI components that integrate through clean, API-based boundaries, from experiment to production deployment on SAP BTP. You'll help answer where AI genuinely adds value, and where deterministic platform reasoning must stay proficient.

  • Analytics that justify the work.Mine large operational datasets, support tickets, quote records, and telemetry events, to find where the real pains and opportunities are. You'll turn millions of noisy records into a defensible, decision-ready answer.

  • Observability that tells the truth in production.Build the monitoring, dashboards, and telemetry pipelines that show how our systems, AI and otherwise, actually behave once real deals flow through them.

What you bring

  • A robust engineer with real AI experience.You own code end-to-end and have taken LLM-based systems into production, with rigorous evaluation.

  • Depth in Python and modern AI frameworks.Hands-on with generative AI, LLM orchestration, prompt engineering, and grounded systems.

  • Data and analytics chops.You turn large, messy operational datasets into something credibility.

  • Observability engineering.You build the monitoring, dashboards, and telemetry pipelines that show how systems actually behave.

  • Cloud-native, enterprise-integration experience.Comfortable integrating REST/OData APIs in a real enterprise landscape.

Mindset

  • You're energized by learning and experimentation, and you ground ambitious ideas in evidence and working code.

  • You state confidence honestly, chase root causes, and would rather ship something true and bounded than something impressive and wrong.

  • You're comfortable with the messy parts: legacy data that fights back, and the judgment call of deciding where AI should not be trusted.

Experience required

  • 5+ years building and shipping production software as an engineer who owns code end-to-end.

  • 2+ years working with LLM-based or generative AI systems in production, with real evaluation rigor, not notebook prototypes.

  • Solid Python (3+ years hands-on) and functional depth in modern AI frameworks: LLM orchestration, prompt engineering, and retrieval-augmented or grounded systems.

  • Proficient SQL and 3+ years wrangling large, messy operational datasets into something credibility.

  • Demonstrated experience building observability: monitoring, dashboards, and telemetry pipelines (e.g.Jenkins, GitHub Actions, Elasticsearch, Kibana).

  • Cloud-native, enterprise-integration experience, comfortable integrating REST/OData APIs in a real enterprise landscape.

Nice to have

  • SAP BTP experience.

  • Domain exposure to CPQ, quoting, pricing, or sales/revenue processes.

Where you belong

  • You'll join a team that builds the systems SAP Account Executives rely on to quote, price, and close complex deals, and we're now bringing AI into those workflows.

  • You'll be a senior technical contributor: designing your approach, building the parts you own, and helping shape how AI, data, and observability come collaboratively in a production sales platform.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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 to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), 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.

Requisition ID: 437324 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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