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SAP • Singapore, SG

Senior AI Architect - AI Innovation & Discovery

Employment type:  Full time
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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.

What You'll Do

AI Research & Technology Discovery

  • Conduct applied research into emerging Artificial Intelligence technologies, Agentic AI frameworks, foundation models, developer tooling, and enterprise AI platforms to identify opportunities relevant to business and engineering teams.
  • Continuously monitor industry trends, academic research, technology ecosystems, and market developments to assess their potential impact on enterprise AI adoption.
  • Evaluate emerging technologies and innovation opportunities through structured analysis, comparative assessments, and evidence-based recommendations.
  • Develop research papers, technical briefs, technology assessments, architecture recommendations, and innovation reports that support strategic decision-making.
  • Act as a trusted advisor on AI trends, helping stakeholders understand emerging capabilities, limitations, risks, and opportunities.

Innovation Strategy & Product Discovery

  • Partner closely with Product Owners, Product Managers, Architects, and Engineering teams to identify innovation opportunities and define future platform capabilities.
  • Support product discovery activities through market research, technology assessments, competitor analysis, and user-centric innovation studies.
  • Translate business challenges into research initiatives and technology investigations that guide product strategy and investment decisions.
  • Influence platform roadmaps by providing recommendations based on technical feasibility, market maturity, business value, and organizational priorities.
  • Assist stakeholders in identifying emerging use cases and opportunities for AI-enabled transformation.

Agentic AI & Emerging Technology Research

  • Research Agentic AI architectures, multi-agent systems, orchestration frameworks, reasoning approaches, memory strategies, and autonomous workflow patterns.
  • Evaluate evolving ecosystems around Large Language Models, enterprise AI platforms, AI governance, developer tooling, and AI-native development practices.
  • Investigate new approaches to enterprise AI adoption and identify opportunities for reusable patterns, frameworks, and accelerators.
  • Develop reference architectures, best practices, and technical guidance to support engineering teams.

Proof-of-Concept Support

  • Collaborate with engineering teams to validate research findings through lightweight experiments, prototypes, and proof-of-concepts.
  • Support the early stages of innovation initiatives by helping define hypotheses, evaluation criteria, success measures, and experimentation approaches.
  • Assist in translating research outcomes into actionable recommendations for future platform investments and product capabilities.
  • Work closely with AI Engineers and Solution Architects to ensure research findings can be effectively operationalized.

Knowledge Leadership & Community Engagement

  • Establish and maintain a structured knowledge base of emerging AI technologies, research findings, industry trends, and innovation opportunities.
  • Present research outcomes and recommendations to technical and business stakeholders.
  • Facilitate innovation workshops, technology reviews, and knowledge-sharing sessions across the organization.
  • Promote a culture of experimentation, learning, and evidence-based decision-making.

What You Bring

Qualifications

  • Master's degree or PhD in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field.
  • Strong academic, research, or industry background in emerging technologies and innovation.
  • Experience conducting applied research, technology assessments, or innovation-focused initiatives within enterprise environments.

Functional Expertise

  • Strong analytical and problem-solving skills with the ability to evaluate complex technical topics and communicate findings clearly.
  • Experience translating research outcomes into practical recommendations and strategic guidance.
  • Ability to balance academic rigor with business relevance and organizational priorities.
  • Strong stakeholder engagement skills and the ability to influence decisions through data-driven insights and evidence-based recommendations.
  • Excellent written and verbal communication skills, including experience producing executive-level reports and technical documentation.

Technical Expertise

  • Deep understanding of Generative AI, Agentic AI, Large Language Models, RAG architectures, AI orchestration frameworks, and enterprise AI ecosystems.
  • Experience researching emerging AI technologies and evaluating their applicability to enterprise use cases.
  • Familiarity with agent frameworks, AI developer tooling, cloud AI services, and enterprise platform architectures.
  • Ability to assess technology maturity, scalability, governance implications, and implementation considerations.
  • Hands-on experience supporting experiments, proof-of-concepts, or prototype development is desirable.
  • Familiarity with SAP AI Core, SAP AI Launchpad, SAP BTP, or similar enterprise AI platforms is advantageous.

Leadership & Collaboration

  • Demonstrated ability to influence technical and strategic decisions through research and thought leadership.
  • Strong collaboration skills across product, engineering, architecture, and business functions.
  • Passion for continuous learning, innovation, and emerging technologies.
  • Recognized for curiosity, critical thinking, intellectual rigor, and the ability to challenge assumptions constructively.

Success Profile

The ideal candidate combines the curiosity of a researcher, the mindset of an innovator, and the pragmatism of a technology strategist. They are passionate about exploring emerging AI technologies, translating research into actionable recommendations, and influencing the future direction of enterprise AI platforms. They excel at connecting technology possibilities with business opportunities and enabling informed investment decisions through evidence-based insights.

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: 455463 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid


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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
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

Hiring in countries

Argentina

Australia

Austria

Bahrain

Belgium

Brazil

Bulgaria

Canada

Chile

China

Colombia

Cyprus

Czechia

Awards & Accreditations

Best Workplace Benefits

Top 10 - Best Workplace Benefits

Flexa awards 2026

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