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SAP • Bangalore, IN

IT Technology Services Expert

Job Description

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.

PURPOSE AND OBJECTIVES

As a critical part of SAP’s Transformation journey, the mission of the CPIT Order-to-Cash (O2C) Team is to drive the implementation of the company’s strategy and achievement of shared business objectives through world class end-to-end business processes and systems. Amongst the team’s key objectives are to innovate, standardize, simplify, and automate SAP’s core business processes and assure continuous alignment with the SAP IT portfolio and business stakeholders. In all activities, closing the loop from strategy to execution is key to driving impact for SAP and for our customers.

As a Senior AI Engineer under Order to Cash, you will develop intelligent, autonomous AI systems that can reason, plan, take actions, and collaborate with other SAP Order To Cash modules. This role is ideal for someone who has deep experience with LLMs, autonomous agent frameworks, orchestration layers, and building production-grade AI systems.

You will work across research, architecture, and implementation, designing agentic workflows, building scalable inference pipelines, integrating external tools/APIs, and ensuring reliable safety, observability, and performance.

You will own technical vision and solution design, ensure integration with internal AI infrastructure, set technical standards, and ensure interoperability and embedded scaling opportunity.

Do you thrive in an agile, collaborative, customer-centric environment? Any innovation that you have just wanted to try out?

EXPECTATIONS AND TASKS

  • Build, and deploy AI & Agentic AI systems capable of autonomous decision-making, multi-step planning, and dynamic tool usage.
  • Develop custom LLM-based pipelines using frameworks such as LangChain, LlamaIndex, or agent platforms like CrewAI, AutoGen, OpenAI Assistants API, or ReAct/Plan-Execute using our own SAP BTP framework.
  • Implement vector search, retrieval-augmented generation (RAG) pipelines, memory stores, and reasoning layers.
  • Design safety, evaluation, monitoring, and governance mechanisms for complex AI-agent behaviors.
  • Work across teams to integrate AI agents into product workflows, back-end systems, SaaS platforms, APIs, and internal tools.
  • Mentor teammates, conduct code reviews, and shape our AI engineering best practices.
  • Collaborate with stakeholders to understand requirements and translate them into technical specifications.
  • End to end development of the AI & Agentic pipeline
  • Strong experience in developing MCP Servers
  • Strong experience in building AI, Generative AI & Agentic AI solutions
  • Experience in evaluating and selecting appropriate AI technologies and tools.
  • Order To Cash business knowledge integration of AI solutions into existing systems.
  • Provide mentorship & technical guidance to other team members.
  • Stay updated with the latest AI trends and technologies to drive innovation

EDUCATION AND QUALIFICATIONS

  • We seek people with distinctive academic credentials, strategic thinking, superior problem-solving skills and a strong professional track record of results.
  • Bachelor's or Master’s degree in computer science, Engineering, or related field.
  • Experience in natural language processing, computer vision, and other AI domains.
  • Working experience in various GenAI models & LLMs is mandatory
  • Should have strong working experience in connecting to various backend systems- - preferably SAP systems
  • It would be added advantage for hands-on experience in SAP Joule
  • Should have strong working experience in muti-cloud environment and microservices
  • Knowledge in SAP Business Data Cloud would be a plus
  • Strong understanding of AI frameworks and tools such as TensorFlow, PyTorch, etc.
  • Languages: Python, JavaScript, ABAP OOPS
  • Frameworks: LangChain, AutoGen, LlamaIndex, CrewAI, Semantic Kernel etc.
  • Strong experience with cloud platforms like SAP BTP /AWS/ Azure/ Google Cloud.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • UI skills would be an advantage ( not mandatory)
  • Strong communication and collaboration skills.
  • Fluent both spoken and written in English
  • Ability to integrate into an international, virtual and highly diverse team, work independently as well as have a positive self-motivated can-do attitude
  • Experience in Agile/SAFe methodology

WORK EXPERIENCE

  • We are looking for more than 12 years professional work experience with a proven track record of 6 years in AI project contribution

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: Careers@sap.com.

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: 443187 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid


Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

Company employees:

107,000

Gender diversity (m:f):

65:35

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