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SAP • Gurgaon, IN

AI Development Expert

8.4

/10

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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.

SAP is seeking a highly skilled AI Development Expert to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP).

As part of the Customer Engagement & Adoption (CE&A) – Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes.

This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment.

Key Responsibilities

  • Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures.
  • Translate business and architectural requirements into production-ready AI application components and services.
  • Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios.
  • Implement multi-agent orchestration, tool integrations, and A2A/MCP interaction patterns.
  • Develop and integrate AI services with SAP BTP, AI Core, Joule, SAP HANA, S/4HANA, and SAP integration services.
  • Implement LLMOps/MLOps pipelines supporting model deployment, monitoring, and lifecycle management.
  • Build reusable AI components, services, and accelerators to support rapid solution delivery.
  • Optimize AI applications for scalability, performance, reliability, and cost efficiency.
  • Ensure Responsible AI principles, data privacy, security, and compliance requirements are implemented in delivered solutions.
  • Collaborate closely with architects, product teams, and cross-functional engineering teams to deliver customer AI adoption programs.
  • Support troubleshooting, performance tuning, and continuous improvement of deployed AI solutions.
  • Continuously evaluate emerging tools and frameworks to improve development productivity and solution quality.

Required Skills & Experience

  • 8–16 years of experience in AI/ML or enterprise software deveopment with hands-on solution delivery experience.
  • Strong experience building Generative AI applications, including RAG pipelines, agent workflows, and prompt engineering.
  • Experience implementing agentic workflows, tool integration, and multi-agent collaboration patterns.
  • Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
  • Experience designing and implementing Business AI solutions.
  • Strong foundation in software engineering, distributed systems, and scalable application development.
  • Experience developing cloud-native applications and services.
  • Strong proficiency in Python; working knowledge of JavaScript/TypeScript is advantageous.
  • Experience working with vector databases, semantic retrieval, and knowledge graph integrations.
  • Experience implementing model deployment, monitoring, and lifecycle workflows using MLOps/LLMOps practices.
  • Experience working with SAP BTP or hyperscaler cloud platforms is beneficial.
  • Familiarity with SAP S/4HANA, HANA DB, and SAP AI offerings is advantageous.
  • Ability to collaborate effectively in customer-facing and cross-functional delivery environments.
  • Strong problem-solving mindset and commitment to delivering production-quality solutions.
  • Strong learning orientation and ability to rapidly adopt emerging AI development technologies.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related discipline.

#D

evConsultantT4PF #AI26

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: 446572 | Work Area: Consulting and Professional Services | 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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