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What you`ll do
The Role
In this role, you will drive internal AI adoption across different Lines of Business (LOBs) within the company. You will collaborate with other engineers to develop AI services, taking projects from proof of concept to full production deployment. This position involves close partnership with AI Platform engineers and stakeholders from various departments. You will work with cross-functional teams to contribute to our evolving AI-first tech stack, address diverse and rapidly changing challenges, and thrive in a fast-paced environment that offers continuous learning. Additionally, you will help define and promote best practices for AI engineering excellence throughout the organization.
Responsibilities
Lead and develop AI services from PoC to Production
Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services.
Develop GenAI/AgenticAI solution designs
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps.
Take ownership over AI services in development and production
Guide and mentor junior colleagues and evolve their AI engineering skillset
What you bring
Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields
Vast coding knowledge in Python
Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala) is beneficial
Exceptional understanding and coding experience of genAI/ agenticAI frameworks such as crewAI / langgraph etc.
Proven hands-on expertise in code-based LLM consumption from platforms such as OpenAI or Huggingface
Track record of using Python backend development frameworks such as e.g. Flask, Django, Quart or FastAPI
Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit.
Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc.
CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc.
Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP
Some form of code ownership and scrum team leadership experience
Curiosity to learn about different AI applications and new technologies in general
Excellent spoken and written knowledge of English as well as collaborative mindset
Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus
Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
These jobs might be a good fit

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Bring it
You’re a strong interaction designer with deep empathy for users and a sharp eye for detail. You bring:
Build it
You’ll lead UX initiatives that elevate SAP S/4HANA Cloud Private Edition. Your work will:
SAP is where creativity meets purpose. You’ll thrive in a team that:
Successful candidates might be required to undergo a background verification with an external vendor.
These jobs might be a good fit

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What you bring
Nice to have
Experience managing data warehouses or data lakes
Problem-solving skills with a proactive, independent approach
Hands-on experience developing CI/CD pipelines
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
These jobs might be a good fit

Share
What you'll do
What you bring
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
Job Segment:Testing, ERP, Cloud, Database, SQL, Technology
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WHAT YOU’LL DO
As a Cloud Architect & Advisor (CAA), you will be responsible for the technical foundation of SAP private cloud engagements. This includes topics like Hyperscalers, infrastructure, network, and virtual private cloud deployment. You will present the offering, run workshops, and be the primary point of contact for our customers in these regards.
WHAT YOU BRING
The Cloud Architects & Advisors are a group of highly motivated and customer focused people, which validate the technical feasibility of SAP Cloud ERP Private deals during the presales phase. This is crucial to ensure all customers get landscapes that match their 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
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Cloud, Developer, ERP, Sales Support, Outside Sales, Technology, Sales
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What you’ll do
You will be responsible for actively monitoring SaaS cloud solutions and initiate immediate action to restore availability in case of service disruption or degradation. As a Cloud Operations Engineer you will drive customer communication, ongoing investigation in collaboration with internal development teams, escalation and bridge call with the affected Line of Businesses and restoration activities. You will also be working in a team that operates multiple products on multiple infrastructures, therefore your agility and ability to proactively learn and adapt will be key to make you efficient. You will be part of continuous service improvement initiatives.
Your main tasks and responsibilities include:
What you bring
We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.
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
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Operations Manager, User Experience, Cloud, ERP, Compliance, Operations, Technology, Legal
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NS2 COMPANY DESCRIPTION
offer SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.
Security Engineering & Technology Management:
Desired Qualifications:
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.
Washington DC
These jobs might be a good fit

Share
What you`ll do
The Role
In this role, you will drive internal AI adoption across different Lines of Business (LOBs) within the company. You will collaborate with other engineers to develop AI services, taking projects from proof of concept to full production deployment. This position involves close partnership with AI Platform engineers and stakeholders from various departments. You will work with cross-functional teams to contribute to our evolving AI-first tech stack, address diverse and rapidly changing challenges, and thrive in a fast-paced environment that offers continuous learning. Additionally, you will help define and promote best practices for AI engineering excellence throughout the organization.
Responsibilities
Lead and develop AI services from PoC to Production
Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services.
Develop GenAI/AgenticAI solution designs
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps.
Take ownership over AI services in development and production
Guide and mentor junior colleagues and evolve their AI engineering skillset
What you bring
Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields
Vast coding knowledge in Python
Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala) is beneficial
Exceptional understanding and coding experience of genAI/ agenticAI frameworks such as crewAI / langgraph etc.
Proven hands-on expertise in code-based LLM consumption from platforms such as OpenAI or Huggingface
Track record of using Python backend development frameworks such as e.g. Flask, Django, Quart or FastAPI
Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit.
Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc.
CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc.
Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP
Some form of code ownership and scrum team leadership experience
Curiosity to learn about different AI applications and new technologies in general
Excellent spoken and written knowledge of English as well as collaborative mindset
Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus
Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
These jobs might be a good fit