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# Generative AI Engineer

- **Company:** Wipro Technologies
- **Location:** Bracknell, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Data Flow Control, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Search Technologies, Software Engineering, Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Event Driven Architecture, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Data Pipelines, Serverless Computing, Docker
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2847388068-generative-ai-engineer

## About the Role

* Technical Skills
 * GCP AI Ecosystem: Hands-on experience with Vertex AI (Pipelines, Feature Store, Model Registry, Endpoint deployment), BigQuery ML, and Cloud Run/GKE.
 * Frameworks & Languages: Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, JAX).
 * Generative AI Stack: Experience with orchestration frameworks (LangChain, LlamaIndex), vector databases (Vertex AI Vector Search, Pinecone, or pgvector), and prompt engineering/tuning.
 * MLOps Tools: Familiarity with Docker, Kubernetes, Terraform, MLflow, or Kubeflow Pipelines., * 3+ years of professional experience in software engineering, machine learning engineering, or data science.
 * Proven track record of deploying and maintaining ML/AI models in a cloud-native production environment (preferably GCP).
 * Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related quantitative field (or equivalent practical experience).

Preferred Skills

 * Google Cloud Certified - Professional Machine Learning Engineer or Professional Cloud Architect.
 * Experience with serverless AI applications and event-driven architectures on GCP.

## Description

We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions. You will be responsible for taking AI models from experimental prototypes to scalable, high-availability enterprise services using GCP's native AI/ML ecosystem., We are looking for a skilled AI Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and deploy production-grade machine learning and generative AI solutions., * Model Deployment & Pipeline Architecture: Design, build, and maintain end-to-end ML and LLM pipelines using Vertex AI, Kubeflow, and Dataflow.

 * Generative AI & LLM Integration: Fine-tune, evaluate, and integrate foundation models (e.g., Gemini) via Vertex AI Model Garden into application workflows using RAG architecture.
 * MLOps & Infrastructure: Automate continuous integration, deployment, and monitoring (CI/CD/CT) for machine learning models using GCP infrastructure and Terraform.
 * Data Engineering Collaboration: Work with data teams to optimize feature stores, data pipelines (BigQuery, Pub/Sub), and training datasets for scalable AI workflows.
 * Performance & Cost Optimization: Monitor model drift, latency, and throughput in production while optimizing GCP resource utilization and infrastructure costs.


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