Lead Consultant - GenAI Engineer (Cloud: GCP)

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Lead Consultant - GenAI Engineer (Cloud: GCP)

In this role, The Data Scientist will apply advanced analytics, machine learning, GenAI and statistical modelling to generate actionable insights and solve complex business problems. The role involves data collection, cleaning, exploratory analysis, feature engineering, model development, and integration of AI/ML solutions into dashboards and applications. The Data Scientist collaborates with cross-functional teams to ensure models are aligned with business objectives, reproducible, and scalable.

Key Responsibilities:

• Design, develop, and deploy Generative AI solutions using GCP services.

  
  

• Build and optimize LLM‑based applications using frameworks such as Lang Chain, LlamaIndex, or Vertex AI SDKs.

  
  

• Leverage Vertex AI, including Model Garden, AutoML, custom training, and pipelines.

  
  

• Implement prompt engineering, fine‑tuning, RAG (Retrieval Augmented Generation), and embedding‑based search solutions.

  
  

• Develop and manage data pipelines for training and inference using BigQuery, Cloud Storage, Dataflow, and Pub/Sub.

  
  

• Integrate GenAI solutions with enterprise applications and APIs.

  
  

• Ensure security, governance, and compliance best practices on GCP.

  
  

• Monitor, evaluate, and optimize model performance, cost, and scalability.

  
  

• Collaborate with data engineers, architects, and business stakeholders to translate requirements into AI solutions.

  
  

• Stay up to date with emerging GenAI trends, tools, and GCP enhancements.

  
  

Required Skills & Qualifications:

• Strong hands‑on experience with Google Cloud Platform (GCP).

  
  

• Expertise in Vertex AI and GenAI capabilities.

  
  

• Experience working with LLMs (Gemini, PaLM, OpenAI models, or open‑source models).

  
  

• Proficiency in Python (mandatory); familiarity with REST APIs.

  
  

• Solid understanding of ML/AI concepts, NLP, and deep learning fundamentals.

  
  

• Experience with RAG architecture, vector databases, and embeddings.

  
  

• Hands‑on experience with Big Query, Cloud Storage, Cloud Functions, Cloud Run, or GKE.

  
  

• Knowledge of CI/CD pipelines and ML Ops practices.

  
  

• Strong problem‑solving and communication skills.

  
  

Minimum Qualifications:

• Bachelor's degree in computer science, Engineering, Data Science, or a related technical field (or equivalent practical experience)

  
  

• Experience in software engineering, cloud engineering, or GenAI roles

  
  

• Hands‑on experience with Google Cloud Platform

  
  

• Working knowledge of services such as: