Principal Ai User Experience Designer jobs at Sap

What you`ll do :

The Role:

What you bring :

- Degree in Psychology, Cognitive Science, Human Computer Interaction or comparable fields

- Minimum 4-12 years experience in conducting user research, preferably in a business software context

- Experience with applying a variety of both, qualitative and quantitative user research methods

- Experience with different research tools (e.g. UserZoom, Respondent, User Interviews)

- Experience in the area of ERP software and/or working in the product operating model is a plus

Excellent communication skills in English and preferably Hindi (also in writing)

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We are looking for an experienced user experience leader to own and drive the new Concur Travel user experience. In this role, you will play an integral part in the UX/Product/Engineering triad discovering problems to solve as they align with our product strategy and our customer needs.

Responsibilities

• Execute continuous discovery methods with partnering Product and Engineering leads to identify and understand the problems to be solved. Perform customer research throughout the product development lifecycle (PDL) to ensure data and customer/user input is infused into all product designs.
• Continuously refine ideas by understanding real user problems and defining metrics and success in their outcomes.
• As the UX lead for the site location, you’ll serve as key point of contact with your off-site UX team to provide transparency to both your own and UX site activities as it relates to product strategy, projects being executed by yourself and the other UX designers.
• Orchestrate design delivery across multiple product teams. Lead extended teams through all stages of product design delivery from discovery and disambiguation of work, concept development and testing, build, deployment and iteration.
• Leverage user insights to inform data-driven decision making, rapid learning and iterative approaches to delivery.
• Delve into data and spend time with our users and develop a deep understanding of their needs and our opportunities. Develop investment points of view to advance our business and user experience.
• Work with members of our Global Product Experience (GPX) team to ensure your designs are compliant in accessibility, translatability and localization, and adhere to our design system.

Work Experience and Qualification

• Long-standing career in User Experience Design with a focus on software design on web and mobile platforms.
• Bachelor or Master’s degree in Human Computer Interaction, Psychology, Computer Science, or other equivalent experience
• Excellent communication, presentation, interpersonal, and analytical skills including the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization.
• Self-starter who is a customer-obsessed, detail-oriented, and enthusiastic team player.
• Ability to work with highly technical teams and handle multiple projects in an agile, fast-paced environment.
• Experience with industry standard tools such as Figma, Sketch and various user research tools as well as experience with accessible design and working with design systems
• Proficiency working with designers and teams across the globe.
• Experience mentoring, leading, and recruiting UX designers.
• Portfolio is required for consideration. Documented outcomes a plus

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We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.

Job Segment:User Experience, ERP, Testing, Cloud, Computer Science, Technology

What You’ll Do

As a Senior/Staff Machine Learning Engineer, you’ll be a technical leader helping architect, scale, and harden SAP’s next generation of generative AI services. You’ll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows—turning foundational model research into secure, production-ready enterprise solutions

Key Responsibilities

• Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.

• Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.

• Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP’s GenAI Hub and third-party providers (e.g., Amazon Bedrock).

• Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.

• Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.

• Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.

• Stay at the forefront of ML/AI trends and bring best practices into the team’s architecture and execution.

Ideal Qualifications

• 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles.

• Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.

• Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.

• Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).

• Proven track record of delivering production AI systems at scale.

• Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.

• Experience mentoring engineers and shaping engineering culture.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

San Jose
Palo Alto

Gurgaon/Mumbai/Delhi

What you’ll do:

As a
Principal Enterprise Architect,you will develop a comprehensive enterprise architecture model for our customers aligning with their enterprise goals, collaborate with virtual account teams (VAT) as a transformation partner. You will drive the value realization and the solution adoption and lead activities such as:

• Guide customers through their cloud journey (with special focus on adopt and derive), starting with Enterprise archetypes and scaling digitally.
• Provide enterprise architecture guidance using RISE with SAP methodology and Clean Core principles to ensure that every customer benefits from SAP‘s cloud qualities.
• Act as the Transformation Partner for the CIO or other CxO, driving architecture effectiveness.
• Support adoption, identifying and mitigating technical adoption risks.
• Enhance impact on customer’s business goals by drivingvalue realization through solution adoption and consumption of capabilities
• Bundle customer expectations and align business goals in a tangible enterprise level success plan to monitor and validate KPIs & value drivers to enable value-driven business transformation with value framework
• Serve as a trusted advisor, ensuring secure, reliable, and flexible cloud environments for mission-critical processes.
• Through governance, involve and engage relevant stakeholders within and outside the customer organization to enhance value realization, establish a common perspective on customer business goals and value drivers across solution areas to provide customer context to all teams, enhancing customer proximity and experience.
• Align customers and partners with SAP’s Clean Core strategy, accelerate BTP adoption and promote SAP best practices.

Transformation, Architectural & Solution Skills:

• Experience delivering enterprise business transformation projects and aligning customer priorities with target architecture and roadmap.
• In-depth knowledge of the SAP Solution Portfolio and Enterprise Architecture Framework (North Star).
• Experience with Business Technology Platform components (application development, automation, data and analytics, integration, AI) and practical experience with S/4HANA applications.
• Strong understanding of Cloud & Clean Core Strategy, familiarity with SAP LeanIX, Signavio, and Cloud ALM.
• Knowledge of SAP's Business AI roadmap, including identifying use cases and piloting AI-driven solutions to enhance business processes.
• Expertise in SAP Integration and Extensibility Advisory Methodologies.
• Understanding of SAP’s value framework, value drivers and business case creation with e.g. VLM (SAP value lifecycle manager)

Must-Have Requirements:

• 10+ years in customer experience roles (e.g., Program Manager, Architect), with experience in end-to-end architectural design for hybrid solution landscapes.
• Extensive knowledge of SAP Enterprise Architecture Framework and Toolset, and experience with BTP components and services such as application development, automation, data and analytics, integration, and AI capabilities.
• Proficiency in SAP Integration and Extensibility Advisory Methodologies and Clean Core principles.
• S/4HANA technical or/and SAP S/4HANA application/functional knowledge/experience.
• Excellent communication, influencing, and negotiation skills (in English) at the senior management and C-levels, both within an IT team and across business functions.
• Mindset for Strategic Thinking, Continuous Learning, and Business Acumen.

Nice-to-Have Requirements:

• Knowledge of on-premise and corresponding SAP cloud solutions.
• Professional training and certification (e.g., SAP Enterprise Architecture Framework featured by LeanIX EAM, SAP Certified Professional-Enterprise Architect [P_SAPEA_2023], TOGAF) as a plus.

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Job Segment:Architecture, Information Technology, IT Architecture, Developer, Cloud, Engineering, Technology

What you`ll do

As a UX Designer in the SAP Build Product Suite team, you will …

• Discover and design User-Centric Experiences: Drive discovery, design, and rapidly iterate on user interfaces, ensuring they are intuitive, engaging, and aligned with user needs as well as business goals.
• Collaborate Cross-Functionally: Actively drive collaboration with product managers, engineers, and user assistance writers as one empowered product team to integrate design seamlessly into the user experience. Exchange feedback on interaction design, visual aesthetics, and usability needs.
• Collect and analyse User Data: Engage with users to gather feedback, plan and perform usability testing, and analyse behavioural data to continuously track down issues and improve your designs based on real user data.
• Stay on Top of Design Debt: Regularly and proactively audit and review the product and report on design bugs and deviations to ensure the product meets our high standards while it evolves, and our debt stays manageable.
• Champion Best Practices: Implement and evangelize design standards and best practices across the product team and help to build a strong design culture within the organization

What you bring

• At least 2 years of proven experience in designing for complex software products, user experience, and interaction design with a proven track record to simplify complex information.
• Very good design and prototyping skills with a focus on clarity, consistency, and user-centric experiences. Proficiency with design tools (e.g., Figma), familiarity with design systems and technical understanding.
• Proven ability to collaborate effectively with cross-functional teams, especially product managers, software engineers, and content writers.
• Experience setting up and conducting user research effectively to run rapid iterations and inform design decisions.
• Strong organizational skills, with the ability to manage multiple projects and deadlines in a fast-paced environment. Knowledge of the SVPG Product Operating Model is a plus.
• Ability to give, take and use feedback as an opportunity to grow and develop, and a keen eye for everything design and a passion for advocating the value of user experience.
• Fluency in spoken and written English. German skills are a plus

SAP Ariba is seeking a highly skilledto drive the success of our advanced analytics-based applications. In this role, you will be responsible for defining the architecture, strategy, and technical vision for next-generation analytics solutions that are

What you'll do:

You will collaborate closely with:

• Product Managers to translate business requirements into technical solutions.
• Engineering Teams to architect, design, and oversee implementation.
• Engineers to mentor and guide them in building innovative analytics-driven applications.

• Architect, design, and implement end-to-end analytics solutions that enable data-driven decision-making.
• Develop high-performance, scalable data management and analytics architectures.
• Integrate modern data engineering and analytics technologies into existing systems.
• Establish best practices for data modeling, data mining, and real-time analytics .
• Lead the development of custom analytics applications and AI-driven insights .
• Work with cross-functional teams to ensure seamless data integration and governance.
• Define and implement disaster recovery and high-availability strategies.
• Continuously evaluate and recommend improvements to enhance data reliability, performance, and quality .

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field .
• 10+ years of professional experience in product development, analytics, and architecture .
• Strong ability to work in an agile environment and cross-functional global teams.
• Excellent communication, presentation, and strategic thinking skills.
• Proven expertise in translating complex technical concepts into business-friendly insights .

• Proficiency in Java, Python, Scala, or GoLang for analytics and data-driven application development.
• Expertise in SAP HANA and cloud environments (AWS, Kubernetes, GCP, or Azure) .
• Strong knowledge of AI/ML models , including large language models (LLMs).
• Deep understanding of data structures, algorithms, design patterns, and OOAD .
• Hands-on experience with Relational and Non-relational databases .
• Expertise in data pipelines, job scheduling, and ETL frameworks .
• Experience working with Big Data ecosystems (Spark, Hive, Hadoop) is a plus.

• Strong background in API development and procurement business processes .
• Knowledge of data security, compliance, and governance best practices .
• Ability to drive innovation and continuous improvement in analytics architecture.
• Self-driven, highly motivated, and a passion for solving complex data challenges

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We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.

What you’ll build
The Role:
• Unique opportunity to develop a Foundation Model on structured business data.
• Design and implement scalable pipelines and models, address open challenges and lead project workstreams.
• Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.
• Spearhead engineering and architecture efforts to move model experiments into production
• Work with large scale tabular enterprise data, optimize and fine-tune models to improve accuracy, scalability, and interpretability.
• Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI

What you bring
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.
• 5+ years of related professional experience incl. 3+ years hands-on experience with Machine Learning on structured/tabular enterprise data such as in the ERP or CRM domain.
• Experience with implementing data preprocessing pipelines for relational structured data
• Deep understanding of Machine Learning algorithms and techniques, particularly in the context of structured data. Experience with Foundation Models, Transformer Models, or Deep Learning with their application in a business context.
• Software engineering excellence in Python and proven experience with ML frameworks such as PyTorch or TensorFlow
• Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Job Segment:ERP, Cloud, Computer Science, Software Engineer, Scientific, Technology, Engineering