GenAI Engineer

Capgemini
New Brunswick, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$90,000.0 - $110,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Computer Programming Information Engineering Python (Programming Language) Tensorflow Azure Machine Learning Data Processing Pytorch Delivery Pipeline Large Language Models Prompt Engineering
+5 more
Generative AI Scikit Learn Information Technology Xgboost Databricks

Job description

  • 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 .

Requirements

  • 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

Benefits & conditions

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 , 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.

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