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SAP NS2 AI Consultant Specialist

SAP

Herndon, VA · HybridFull-time$90–199K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$90–199K/yr
Location
Herndon, VAHybrid
Schedule
Full-time
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Security clearance

Job overview

The AI Consultant Specialist works with engineering teams and customers to identify opportunities for AI and data analytics, translate business challenges into solutions, and help design AI-powered SAP features and products. The role explores Business AI trends and learns existing SAP AI and BTP systems. It requires machine learning model development experience, relevant technical skills, U.S. citizenship, and the ability to obtain and maintain security clearance.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning Model DevelopmentMachine Learning Model OptimizationPythonTensorFlowPyTorchApplying Research BreakthroughsAgentic AIIndependent WorkCollaborationProblem SolvingClear CommunicationAI EthicsAlgorithm Design

Qualifications

1+ Years Machine Learning ExperienceBachelor's or Master's in Related FieldSecurity Clearance EligibilityU.S. Citizenship

Full job description

SAP NS2 AI Consultant Specialist

  • Team Links: Information Technology

  • Location Links: Herndon

  • Work Pattern: Hybrid - Contract Type: Full-time - Reference: REF3743K

The Role

Job Description

NS2 COMPANY DESCRIPTION

SAP is the global market leader for business software and related services, and SAP National Security Services Inc.® (SAP NS2®) is an independent U.S. subsidiary, offering SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.

This position requires access to customer data. Must be a U.S. citizen; SAP NS2 does not offer Visa sponsorships for this role. All internals must have manager’s approval to transfer

AI Consultant Specialist

What you’ll bring

You bring the ability to work independently and collaboratively on moderately complex projects, solve problems, and improve existing systems and processes. You communicate clearly, design and implement novel machine learning algorithms, apply principles of AI ethics, and collaborate effectively with development teams to ensure system performance and scalability.

What you’ll build

You explore Business AI trends and best practices, learn SAP NS2’s existing SAP AI and Business Technology Platform (BTP) systems, and identify opportunities to integrate AI and data analytics. Working with engineering teams and customers, you gather requirements, translate business challenges into actionable solutions, and help design new AI-powered SAP features and products.

Where you belong

At SAP, you join a team that brings advanced AI into trusted enterprise products used worldwide. You collaborate with colleagues who value clear thinking, steady learning, and thoughtful experimentation. You help shape new AI capabilities grounded in real customer needs and supported by a team committed to meaningful impact.

Qualifications

  • 1-3 years of proven experience in developing and optimizing machine learning models

  • Bachelor’s or master’s degree in computer science, data science, machine learning, or a related field.

  • Strong competence with various tools, procedures, and programming languages relevant to machine learning and AI, such as Python, TensorFlow, PyTorch, etc.

  • Experience in applying recent research breakthroughs to real-world problems to create business value

  • Ability to obtain and maintain security clearance

  • Agentic AI day‑to‑day practice

Additional Information

All your information will be kept confidential according to EEO guidelines.

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.

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: [email protected] .

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 pay transparency is essential to fostering an honest, supportive, and inclusive culture and is an important part of our commitment to pay equity. The salary range for this position is included in the job posting. The actual compensation offered to the successful candidate will fall within that range and will depend on factors such as education, skills, experience, location, and scope of the role, as determined through the selection process. Where applicable, SAP may also provide variable incentive opportunities and additional benefits, subject to the terms of the relevant plans and policies. Any variable incentive amount is target-based, with actual payouts dependent on company and individual performance. Please reference this link for a summary of SAP benefits and eligibility requirements:SAP North America Benefits (http://www.sapnorthamericabenefits.com/) .

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.

Additional Details

Salary USD 90,000 - USD 198,500 - yearly

How this job compares

Set against the 2,108 open Machine Learning jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$90–199K/yr
  • Virginia median$160–224K/yr85 salary ranges
  • US median$150–240K/yr1,501 salary ranges

This range's midpoint, $144K, is 21% below the Virginia median midpoint ($183K) — in the lowest quarter of Machine Learning salary ranges in Virginia.

Openings
Olive Jobs lists 99 open Machine Learning jobs in Virginia and 2,108 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 1 year of experience — less than three in four Machine Learning postings that state a minimum ask for (median 5 years, across 1,588 postings).
Education
786 of the 2,108 open Machine Learning jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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