AI Engineer Applied AI & Data Validation
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Posted on:
7 days ago
Vacancies:
1 Vacancy
Job Summary
We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.
What youll build
At SAP we enable you to bring out your best. Our culture is built on collaboration and a shared passion to help the world run better. SAP offers a highly collaborative caring team environment with a strong focus on learning and development recognition for individual contributions and flexible benefit options.
SAP is looking for an AI Engineer who can turn business problems into practical AI solutions and help ensure the data behind those solutions is accurate relevant and ready for use. This is a hands-on role for someone who enjoys building AI applications while also stepping in as an ad-hoc data scientist to assess source quality validate assumptions and improve data readiness across the delivery lifecycle.
You will work with cross-functional teams to move high-value AI use cases from discovery to production balancing speed technical quality and real business impact.
As an AI Engineer you will design build validate and operationalize AI solutions that support business and operational teams. You will work across the full delivery lifecycle from early requirements and prototyping through production readiness and post-launch improvement.
Key responsibilities include:
- Build AI and agent-based solutions that solve real business problems and can be deployed in production environments.
- Translate business needs into technical designs data requirements evaluation approaches and delivery plans.
- Act as an ad-hoc data scientist to assess whether data sources are relevant complete trustworthy and fit for the intended use case.
- Explore clean profile and validate data from enterprise systems to improve model quality and reduce delivery risk.
- Design and implement prototypes pipelines model workflows orchestration logic and integration components.
- Partner with business stakeholders product owners engineers and data owners to define success metrics and align on outcomes.
- Support discovery workshops and early solution design by bringing a strong perspective on technical feasibility and data readiness.
- Define and execute testing and evaluation approaches for AI solutions including data validation output quality and operational performance.
- Prepare solutions for production by contributing documentation monitoring requirements release evidence and handover materials.
- Analyze usage feedback and impact after launch then turn those insights into recommendations for improvement scaling or redesign.
- Share reusable patterns lessons learned and engineering best practices to strengthen overall AI delivery capability across teams.
What you bring
- Bachelors or Masters degree in Computer Science Data Science Engineering Mathematics Statistics or a related technical field.
- Strong hands-on experience in AI engineering machine learning data science software engineering or a similar role.
- Proven ability to take AI or ML solutions from idea to implementation including data validation prototyping testing deployment and operational support.
- Strong programming skills in Python and solid SQL experience.
- Experience working with enterprise data including profiling quality assessment transformation and validation.
- Good understanding of machine learning methods statistical analysis model evaluation and modern AI application patterns.
- Experience building or supporting AI applications intelligent workflows copilots or agent-based solutions is a strong advantage.
- Ability to work in ambiguous environments structure problems quickly and make sound technical decisions with incomplete information.
- Strong communication skills and the ability to explain technical concepts trade-offs and data limitations to non-technical audiences.
- Experience working in cross-functional teams that include business stakeholders engineers and governance or compliance partners.
- Familiarity with human-centered design discovery workshops or design-thinking approaches is a plus.
- Experience with production readiness topics such as monitoring documentation runbooks security alignment and lifecycle support is a plus.
Where you belong
You will join a team focused on identifying building and scaling practical AI use cases that deliver measurable value. The team works closely with business stakeholders architects engineers and operations partners to bring AI solutions into production quickly and responsibly.
This environment is ideal for someone who enjoys combining technical depth with business impact moving from experimentation to deployment and working across both AI engineering and data validation responsibilities.
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
SAPs 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:
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: 447139 Work Area: Software-Development Operations Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid
Required Experience:
IC
Key Skills
About Company
SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer soluti ... View more
