INSenior AssociateGenerative AI Engineer Emerging Businesses AdvisoryNoida

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

*Why PWC

about us.

At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing developing and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications orchestrating model workflows and integrating GenAI capabilities into enterprise systems. This role demands deep expertise in Python PyTorch and Hugging Face Transformers along with hands-on experience in deploying solutions on Azure AWS or GCP. The candidate should be proficient in using orchestration frameworks like LangChain developing APIs with FastAPI or Flask and managing ML pipelines using tools such as MLflow or Weights & Biases. Familiarity with CI/CD practices for ML including platforms like Azure ML or SageMaker Pipelines is essential.

Responsibilities:

Design build and deploy generative AI solutions using LLMs such as OpenAI Anthropic Mistral or open-source models (e.g. LLaMA Falcon). Fine-tune and customize foundation models using domain-specific datasets and techniques Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses. Implement model pipelines using Python and ML frameworks such as PyTorch Hugging Face Transformers or LangChain. Agentic AI implementation expertise using or Lang chain Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP). Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex Ensure robustness scalability and compliance of AI models in deployment environments. Good to have experience in finetuning models Good to have experience in SLM Integrate GenAI into enterprise applications via APIs or custom interfaces. Evaluate model performance using quantitative and qualitative metrics and improve outputs through iterative experimentation. Keep up to date with the latest research in GenAI foundation models and relevant open-source tools.

Mandatory skill sets:

Generative AI (LLMs Transformers) Python PyTorch Hugging Face Transformers Azure/AWS/GCP cloud platforms

LangChain/Langgraph or similar orchestration frameworks REST APIs FastAPI Flask ML pipeline tools (MLflow Weights & Biases) Git CI/CD for ML (e.g. Azure ML SageMaker pipelines)

Preferred skill sets:

RAG (Retrieval-Augmented Generation) Vector DBs (FAISS Pinecone Weaviate) Streamlit/Gradio for prototyping Docker Kubernetes (for model deployment) Data preprocessing & feature engineering NLP libraries: spaCy NLTK Transformers

Years of experience required:

4 to 8 years

Education qualification: B.E/ (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date