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Location
Hybrid (Phoenix, United States)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Oct 1, 2026. Genpact scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Genpact is a professional services company that began in 1997 as a business process unit inside GE Capital in India, and was spun out as an independent firm in 2005. It runs finance and accounting, supply chain, procurement, risk and customer operations on behalf of large enterprises, combining offshore delivery with process reengineering and increasingly with automation rather than pure labour arbitrage. Headquartered in New York and listed on the New York Stock Exchange, the company employs well over a hundred thousand people, mostly in India, and has repositioned its offering around agentic AI embedded into the processes it already operates.
AI Engineer

Ready to turn bold ideas into real-world impact?

At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

We are seeking an innovative and highly skilled Data Scientist with expertise in AI/ML, Generative AI, and Large Language Models (LLMs). The role involves building advanced machine learning models, leveraging generative AI frameworks, and applying data science techniques to solve complex business problems. The ideal candidate will bring strong programming skills, hands-on experience with AI/ML libraries, and exposure to cloud-based AI services.

Responsibilities

  • Design, develop, and deploy machine learning and generative AI models to address business needs.
  • Work with large-scale datasets using Python, SQL, and industry-standard libraries (Scikit-learn, TensorFlow, PyTorch, Keras, AutoML, etc.).
  • Develop and fine-tune LLM-based solutions (GPT-3, GPT-4, or similar models) for real-world applications.
  • Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
  • Explore and apply natural language processing (NLP) techniques for text understanding, summarization, and sentiment analysis.
  • Implement solutions on cloud platforms (Azure, AWS, or GCP) ensuring scalability and efficiency.
  • Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.

Minimum Qualifications

  • Bachelor’s in Computer Science, Data Science, Artificial Intelligence, or related field.
  • Strong programming skills in Python and proficiency in SQL.
  • Hands-on experience in machine learning, AI, and data science projects.
  • Understanding of generative AI concepts, frameworks, and model deployment.
  • Proficiency with deep learning libraries such as TensorFlow, PyTorch, or Keras.

Preferred Qualifications/ Skills

  • Prior experience in building LLM applications.
  • Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
  • Exposure to any cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
  • Familiarity with MLOps practices for model lifecycle management.
  • Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.

Qualifications

Certifications

Required Skills

Data Science, Python (Programming Language)

Language

English

Language Proficiency -

Upper Intermediate - B2

Additional Job Location -

Job Type

Regular

Master Skill List -

Advanced Analytics / AI / ML

Remote Type -

Hybrid

Work Shift -

Day Job (India)

Why join Genpact?

  • Lead AI-powered transformation - Drive innovation and solve real-world business challenges that matter
  • Make an impact - Help global enterprises solve business challenges that matter
  • Accelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
  • Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
  • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
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