IN_Senior Associate_Generative AI Engineer _Emerging Business_Advisory_Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

PwC India is seeking a highly skilled GenAI Engineer to design, develop, and deploy scalable Generative AI solutions using state-of-the-art LLMs and transformer architectures.

You will work with Python, PyTorch, Hugging Face, and cloud platforms (Azure/AWS/GCP), building API interfaces with FastAPI or Flask and orchestrating workflows with LangChain. The role also involves collaborating with data engineers and MLOps to productionize GenAI models while ensuring robustness and compliance.

Qualifications

• Experience with Generative AI, LLMs, Transformers.
• Proficiency in Python, PyTorch, Hugging Face.
• Experience deploying on Azure/AWS/GCP.
• Familiar with LangChain and API frameworks.
• CI/CD for ML and ML pipelines.

Responsibilities

• Design, build, and deploy GenAI solutions using LLMs.
• Fine-tune foundation models with domain data.
• Develop prompt engineering strategies.
• Implement model pipelines with Python, PyTorch, and LangChain.
• Collaborate with ML/Ops to productionize GenAI on cloud.
• Ensure robustness and compliance in deployments.
• Integrate GenAI into enterprise apps via APIs.
• Evaluate model performance with metrics.

Skills

Generative AI

Python

PyTorch

Hugging Face

Cloud platforms

LangChain

REST APIs

CI/CD ML

MLflow

Weights & Biases

Education

BE/BTech

MTech

MCA

Tools

Azure

AWS

GCP

Docker

Kubernetes

Job description

Job Description:

At PwC, our people in software and product innovation focus on developing cutting‑edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In emerging technology at PwC, you will focus on exploring and implementing cutting‑edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose‑led and values‑driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

We are seeking a highly skilled and innovativeGenAI 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 C rew.ai 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 7 years

Education qualification

B.E/B.tech/M.tech/MCA

Education

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 more}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

September 14, 2026