Jobs in the United States

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Added 2 mins ago
Sr. Analyst, Supply Chain Data Analytics
United States
Engineer and maintain data foundations, reusable data models, metric views, and analytics-ready datasets using Databricks, SQL, Python, and semantic assets that support analytics, AI, and…
Added 6 mins ago
Senior Data Engineer (Remote Opportunity)
Hyatt
Chicago, IL
Applying the latest techniques and approaches across the domains of data engineering, and machine learning engineering isn’t just a nice to have, it’s a must.
Added 11 mins ago
Software Engineer
PeopleTec, Inc.
HUNTSVILLE, AL
AI development, including integrating machine learning models or AI-enabled capabilities into production software, and using AI-assisted tools in the development workflow
Added 12 mins ago
Senior DevOps Engineer
Expression
Remote, United States
Familiarity with data engineering and machine learning platforms, including Databricks, Apache Spark, or related technologies.
Added 12 mins ago
DevOps Engineer
Expression
Remote, United States
Expression is seeking a mid-level DevOps Engineer to support the National Telecommunications and Information Administration (NTIA) Federal Spectrum Data Systems (FSDS) program within the…
Added 14 mins ago
Software and AI Engineer
CoreWeave
CA / Bellevue, WA · Livingston, NJ · Manhattan, NY · San Francisco, CA · Sunnyvale, CA
Familiarity with machine learning and data engineering platforms such as Ray, Kafka, or Spark.
Added 14 mins ago
Senior Acoustics Signal Processing Engineer
RTX
United States
Modern AI Pipelines: Exposure to machine learning techniques and how it applies to Detection, Classification, Localization, and Tracking (DCLT).
Added 14 mins ago
Principal Acoustics Signal Processing Engineer
RTX
United States
Modern AI Pipelines: Experience implementing machine learning techniques directly utilized within a Detection, Classification, Localization, and Tracking (DCLT) pipeline.
Added 17 mins ago
Senior Security Research Engineer
Referral Board
United States
The Elastic Security Endpoint Protections team researches, designs, and builds the visibility and prevention capabilities at the core of Elastic Defend, our endpoint and SIEM security…
Added 32 mins ago
Forward Deployed Engineer – Operational Intelligence Practice
INSOURCE SOFTWARE SOLUTIONS INC.
Remote, United States
The Forward Deployed Engineer will build and deploy industrial data and AI solutions for the InSource Solutions Group Operational Intelligence (OI) Practice, a new consulting practice…
Added 33 mins ago
Mechanical Design Engineer
Actalent
Jeffersontown, KY
Job Title: Mechanical Design Engineer / CAD Designer-DrafterJob DescriptionThis role focuses on transforming engineering concepts, redlined drawings, and standard product designs into…
Added 36 mins ago
H
SW Engineer
HP
Fort Collins, CO
- $105,050 to $161,800 USD / year
Understanding of Database, Cloud Infra, AI and machine learning, including deep learning, reinforcement learning, natural language processing, and computer vision
Added 38 mins ago
Principal Cloud Data Architect (Microsoft Fabric and Azure)
Children's Health
Dallas, TX
Leverage expertise in software engineering practices, back-end technologies, databases, data development/engineering, and artificial intelligence/machine learning engineering to build…
Added 40 mins ago
Co-op - Full-Stack Life Sciences Engineer
Labcorp
Durham, NC
1-month plus coursework or projects in bioinformatics, NLP, machine learning, or full-stack web development
Added 46 mins ago
Senior Security Research Engineer
Elastic
United States
The Elastic Security Endpoint Protections team researches, designs, and builds the visibility and prevention capabilities at the core of Elastic Defend, our endpoint and SIEM security…
Added 50 mins ago
Sr. API Engineer
Anika Systems
Remote, United States
Anika Systems is seeking an experienced Senior API Engineer to develop, maintain, and enhance an enterprise Semantic Layer supporting data access, analytics, and AI-enabled applications for…
Added 52 mins ago
Lead Software Development Engineer - AI Engineering
The ODP Group, LLC
Austin, TX
…solutions that leverage emerging technologies, automation, and AI capabilities to enhance customer and associate experiences. The ideal candidate is excited by solving complex problems at…
Added 53 mins ago
Palantir Software Engineer
ASRC Federal Holding Company
El Paso, TX
ASRC Federal Technology Solutions, LLC is looking for a Machine Learning Engineer to support our contract in El Paso, TX with current a Secret security clearance or higher. Responsibilities…
Added 53 mins ago
Sr Software Engineer
Cengage Group
Houston, TX
Solid understanding of AI concepts, technologies and methods, including machine learning, Language, Reasoning & multimodal models, prompt & context engineering, developing and using skills…
Added 53 mins ago
GMS Development Program – Entry Level Power & Computer Engineer
ERCOT
Austin, TX
At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the…
Added 53 mins ago
REMOTE AI/ML Engineer II
Insight Global
Austin, TX
Insight Global is seeking a Machine Learning Engineer II for a leading healthcare organization building out a greenfield ML environment. This role is heavily focused on production MLOps,…
Added 1 hour ago
1000000567.DATA ENGINEER LEAD.INFO TECH SERVICES
Dallas County
Dallas, TX · TX
Provides technical and strategic leadership for the County’s data engineering function, overseeing the design, development, and delivery of scalable data systems and services. Defines…
Added 1 hour ago
PD
Senior AI Engineer (Agentic Systems)
Pantheon Data
Reston, VA
- $120,000 to $220,000 USD / year
This role owns the agent runtime: orchestration, routing, the capability registry, and the contracts that capabilities plug into. Capabilities such as retrieval, document extraction, and…
Added 1 hour ago
PD
Data Engineer (AI-ML Data Systems)
Pantheon Data
Reston, VA
- $110,000 to $190,000 USD / year
This role owns the data pipelines and data stores. You will partner closely with the Machine Learning Engineers, who own models, retrieval, extraction, and evaluation: they define how…
Added 1 hour ago
Forward Deployed Senior AI Engineer
SAP
New York, NY
You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of Forward…

SAP

Forward Deployed Senior AI Engineer

New York, NY, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original 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.

Location: this is a hybrid position based from our New York City office located in the Hudson Yards.

What you'll build

In this role, you contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams.

You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of Forward Deployed Architects and Managers.

This is a role for someone who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers.

In this role, you will:

Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.
Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs.
Implement features, components, and integrations under the guidance of architects, maintaining code quality and adherence to engineering standards.
Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements.
Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge.
Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.
Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing.
Demonstrate a proactive learning mindset - staying current with AI/ML developments and applying new techniques and tools to improve solution quality.

What you bring:

8+ years of hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability.
Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment.
Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services.
Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts.
Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability.
Curiosity, adaptability, and a growth mindset - you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment.
Strong understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines.
Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings.
An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.
Experience in developing software with customers is a big plus.

Where you belong:

You will be part of a growing AI and industry expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level - and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers - from day one.

#SAPIndustryAICareers

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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 131000-271600USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

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.

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More about this job

Skills

SAP
Business processes
Troubleshooting
Documentation
ML
Python
Machine learning
TensorFlow
PyTorch
Scikit-learn
Adaptability
AWS
Microsoft Azure
Google Cloud
Git
Docker
CI/CD
Communication skills
Leadership
ERP

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