Senior Solution Advisor - AI

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.

Lead presales motions for AI-enabled solutions by combining full-stack engineering with applied AI. Craft compelling narratives, build hands-on demos and PoCs, and guide customers from discovery to adoption with production-minded architectures and best practices.

Accountability

• Manage presales opportunities end-to-end; define deliverables, scope, timelines, and success criteria.
• Ensure goals and milestones are met; manage escalations and risks appropriately.
• Build strategic relationships with key customer and partner stakeholders; influence solution direction and value realization.
• Mentor team members and share best practices to enable informed decision-making.

Complexity

• Navigate high-volume and high-complexity enterprise presales cycles across multiple industries.
• Present the end-to-end AI solution portfolio for both technical and business audiences.
• Deep dive on LLM application patterns, retrieval-augmented generation (RAG), and MLOps to solve complex problems.
• Provide regular status, risk, and mitigation updates.

Technical Skills

• Full-Stack Development: JavaScript/TypeScript, Node.js, React/Next.js; Python; REST/GraphQL APIs; FastAPI/Flask; microservices patterns.
• AI/ML; LLM app frameworks,vector databases
• Generative AI: OpenAI/Azure OpenAI, Anthropic, Google/Vertex AI, AWS Bedrock; prompt engineering, tool/function calling, RAG, evaluation, guardrails.
• Data and MLOps: MLflow/Kubeflow; Airflow/dbt;databricks, snowflake
• Cloud: AWS, Azure, or GCP AI services

Experience

• 8+ years in software or solutions engineering with a strong presales focus, including hands-on coding and demo/PoC delivery.
• Proven track record building AI-enabled applications and reference architectures for enterprise customers.
• Comfortable pair-programming and building prototypes during workshops and hackathons.
• Relevant cloud/AI certifications preferred.

Communication

• Executive presence; presentable and confident in one-to-many customer settings.
• Clear storytelling that connects business outcomes to technical capabilities; strong stakeholder management and facilitation.

Key Responsibilities

• Engage early in the sales cycle to qualify and shape AI use cases; map needs to architectures and roadmaps.
• Design and deliver compelling demos and PoCs showcasing differentiated outcomes and technical feasibility.
• Guide customers on data readiness, responsible AI, and governance; recommend evaluation and guardrail strategies.
• Partner with delivery teams for smooth handover and post-selection adoption; document best practices and playbooks.

Experience & Educational Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field preferred.
• Fluency in Turkish and English.
• Willingness and ability to travel extensively (high travel expectation).

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: 452712 | Work Area: Presales | Expected Travel: 0 - 30% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid