Why This Role Stands Out
This hybrid GenAI Engineer role at Sogeti offers exciting opportunities to design and deploy cutting-edge Generative AI solutions using LLMs and Azure technologies, perfect for experienced professionals eager to shape HR innovation. You'll thrive by leveraging your Python and Azure Databricks expertise to build scalable AI pipelines and contribute to impactful projects within a collaborative environment. Apply now to advance your career in this dynamic field.
Quick Overview
Salary
$5.3k/mo
Work Type
Hybrid
Level
Mid Senior
Job Description
Details
What you will do at Sogeti :
What you will bring:
Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Medical, Prescription, Dental & Vision Insurance
Life Insurance
100% Company-Paid Mobile Phone Plan
3 Weeks PTO + 7 Paid Holidays
Paid Parental Leave
Adoption, Surrogacy & Cryopreservation Assistance
Subsidized Back-up Child/Elder Care & Tutoring
Career Planning & Coaching
$5,250 Tuition Reimbursement & 20,000+ Online Courses
Employee Resource Groups
Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
Disaster Relief Programs
About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best |
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 90k-110k.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
What you will do at Sogeti :
- Design, develop, and deploy Generative AI solutions supporting HR use cases
- Develop scalable data science and machine learning pipelines using Azure Machine Learning and Azure Databricks
- Design and implement Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI agents.
- Collaborate with Business Analysts, HR stakeholders, Product Owners, and Solution Architects to translate business challenges into measurable AI and GenAI solutions.
- Develop and operationalize AI models with a strong focus on reproducibility, explainability, scalability, and performance.
- Utilize Azure DevOps, Azure ML, and Databricks to automate AI development and deployment workflows.
- Optimize training and inference workloads for performance, scalability, and cost efficiency within Azure cloud environments.
- Partner closely with Data Engineering teams to ensure high-quality, reliable, and feature-ready datasets for AI and GenAI applications .
What you will bring:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- Minimum 3 years of professional experience and at least 2 years of experience in AI/ML development and deployment.
- Proven experience designing and implementing Generative AI solutions using Large Language Models (LLMs) and modern GenAI frameworks.
- Hands-on experience with Azure Databricks for data processing, model development, and operationalization.
- Strong programming skills in Python.
- Experience with machine learning frameworks such as Scikit-learn, PyTorch, TensorFlow and XGBoost
Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Medical, Prescription, Dental & Vision Insurance
Life Insurance
100% Company-Paid Mobile Phone Plan
3 Weeks PTO + 7 Paid Holidays
Paid Parental Leave
Adoption, Surrogacy & Cryopreservation Assistance
Subsidized Back-up Child/Elder Care & Tutoring
Career Planning & Coaching
$5,250 Tuition Reimbursement & 20,000+ Online Courses
Employee Resource Groups
Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
Disaster Relief Programs
About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best |
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 90k-110k.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Skills
Machine Learning
Scikit-learn
Azure
Databricks
Generative AI
LESS
PyTorch
Python
TensorFlow
Similar jobs
Senior AI Engineer - Guidewire
CNA · Chicago, United States
22 minutes ago$72k - $141k/yrSenior Data AI Engineer
CNA · Chicago, United States
22 minutes ago$72k - $141k/yrSR. AI Engineer
TekShapers · Oaks, United States
28 minutes agoAI Developer (Software Engineering, Associate)
MIL Corporation · Washington, United States
29 minutes ago$115k - $150k/yrStaff AI Engineer - Utah
Podium · Lehi, United States
1 hour agoPredictive & Agentic AI Engineer
Bright MLS · Rockville, United States
1 hour ago$155k - $175k/yr