Capgemini

Capgemini

AI Associate (+ SAP ) Consultant t

Houston, TX, US · Junior · Full-time

Work authorization required$44k-$128kDetected 3 days ago
PythonAWSGCPAzureCloud PlatformsMachine LearningData AnalysisData EngineeringData ScienceNLPLLMsAccessibilityForecastingSAPCommunicationProblem Solving

Stay score

odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$87,7761 entry
Level II$110,3442 entries
Level III$132,8913 entries
Level IV$155,4594 entries

The bottom of this range ($43,984) is below the Level I prevailing wage of $87,776. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $110,344 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Houston-Pasadena-The Woodlands, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and
  • build a more sustainable, more inclusive world.

Responsibilities

  • Collaborate with functional and technical teams to integrate AI capabilities with SAP S/4HANA, Ariba, SuccessFactors, and other SAP applications.
  • Support data preparation, governance, model monitoring, and performance optimization activities.
  • Participate in testing, solution validation, deployment, and post-production support activities.

Requirements

  • Hands-on experience with Python and SQL.
  • Knowledge of SAP business processes across Finance (FI), Materials Management (MM), Sales & Distribution (SD), or related functional areas.
  • Ability to work collaboratively with business users, technical teams, and project stakeholders.
  • Familiarity with SAP Joule and SAP Conversational AI.
  • Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
  • Knowledge of data engineering, integration, or analytics solutions.

Nice to have

  • Assist in identifying business use cases and opportunities for AI adoption across enterprise processes.
  • Work closely with business stakeholders to understand requirements and translate them into innovative SAP AI solutions.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • 1-3 years of experience working with SAP technologies, AI/ML solutions, analytics, or enterprise applications.
  • Foundational understanding of SAP S/4HANA and SAP Business Technology Platform (BTP).

Skills

  • Participate in the installation, setup, and configuration of SAP Dev Cockpit and Copilot technologies.
  • Stay current on emerging AI technologies, SAP innovations, and industry best practices.
  • Your Skills and Experience
  • Exposure to SAP AI technologies such as AI Core, AI Launchpad, SAP Analytics Cloud (SAC), and SAP DataSphere.
  • Strong analytical, problem-solving, and communication skills.
  • Demonstrated interest in AI, automation, cloud technologies, and digital transformation initiatives.

Compensation

  • $44k-$128k

Benefits

  • Support the design, development, and deployment of AI and Machine Learning solutions within SAP landscapes.
  • Develop and deploy Machine Learning models to support forecasting, classification, optimization, and predictive analytics use cases.
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Other benefits as provided by local policy and eligibility

Visa & Work Authorization

  • Must be able to work for any employer in the US indefinitely without sponsorship now or in the future

This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.