Senior Consultant - Python, MLops, Agentic AI

SAP SE; Indiana; Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

SAP SE is seeking an experienced AI/ML engineer to lead end-to-end development of production-ready AI solutions in a cloud environment. You will design pipelines, validate data quality, and work with stakeholders to ensure measurable business impact.

Ideal candidates bring hands-on experience in deploying AI systems, strong Python/SQL skills, and a track record of delivering reliable, scalable solutions. The role emphasizes collaboration across AI engineering, data validation, and governance

Formación

• Experience delivering AI/ML solutions into production.
• Strong programming skills in Python and SQL.
• Experience taking AI/ML from idea to deployment with validation and testing.
• Understanding of ML methods, model evaluation, and AI patterns.
• Experience building AI apps, copilots, or agent-based solutions is an advantage.
• Ability to structure ambiguous problems and make sound technical decisions.
• Strong communication with non-technical stakeholders and governance partners.

Responsabilidades

• Design and implement pipelines and model workflows, and create orchestration systems.
• Develop integration components addressing large-scale business problems.
• Act as an ad-hoc data scientist to profile, clean, and validate data from enterprise systems.
• Define success metrics with product owners and engineers, and validate them through testing.
• Manage quality from discovery through release, including documentation and handover materials.

Conocimientos

Ambiguity handling

Stakeholder communication

Team leadership

Problem solving

Strategic thinking

Herramientas

Python

SQL

Data pipelines

Descripción del empleo

Job DescriptionYou will manage and develop engineering talent, set clear goals, and ensure delivery of secure, scalable cloud services. You'll foster collaboration and drive strategic improvements in automation and reliability.

Job DescriptionYou will manage and develop engineering talent, set clear goals, and ensure delivery of secure, scalable cloud services. You'll foster collaboration and drive strategic improvements in automation and reliability.

Bring

• Hands-on engineering experience delivering AI and machine learning solutions into production — not just models in isolation, but complete, deployable systems.
• Strong programming skills in Python and SQL, with practical experience profiling, transforming, and validating enterprise data.
• A track record of taking AI or ML solutions from idea through data validation, prototyping, testing, and deployment into operational support.
• Sound 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.
• The ability to structure ambiguous problems quickly and make sound technical decisions under uncertainty.
• Strong communication skills — you can explain technical trade-offs and data limitations clearly to non-technical stakeholders and governance partners.

Build

• You will design and implement pipelines and model workflows. You will also create orchestration systems. Additionally, you will develop integration components that address real business problems on a large scale. These solutions are not just one-time experiments.
• A reliable data foundation: Acting as an ad-hoc data scientist, you will explore, profile, clean, and validate data from enterprise systems to reduce delivery risk and improve model quality before it reaches production.
• Clearly defined success metrics: Partnering with product owners, engineers, and business stakeholders, you will co-define what good looks like — then execute testing and evaluation approaches that measure it rigorously.
• You will manage quality from start to finish. This includes leading discovery workshops. You will create documentation, monitor requirements, and prepare release evidence and operational handover materials. After the launch, you will assess the impact. This will help you make improvements, scale operations, or redesign as needed.

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.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Additional Information

About SAP

With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

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 complete your application, please send an email with your request to the Recruiting Operations Team: [e-mail].

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 age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), 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.