IN_Sr Associate_Generative AI Engineer_Advisory_Bangalore

PwC; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

PwC is seeking a GenAI Engineer in Bengaluru to design, develop, and deploy scalable GenAI solutions using state-of-the-art LLMs and transformer architectures. You will orchestrate model workflows, build intelligent applications, and integrate GenAI into enterprise systems.

The role requires deep expertise in Python, PyTorch, Hugging Face Transformers, and hands-on deployment on Azure/AWS/GCP. You will work with LangChain, FastAPI/Flask APIs, and ML pipelines, contributing to robust, compliant,

Qualifications

• GenAI Engineer with experience designing, developing and deploying GenAI solutions.
• Strong Python, PyTorch and Hugging Face Transformers skills.
• Experience with cloud platforms (Azure, AWS, GCP).
• Experience with LangChain / Langgraph or similar orchestration frameworks.
• REST APIs using FastAPI or Flask.
• ML pipeline tools like MLflow or Weights & Biases.
• Git and ML CI/CD (Azure ML, SageMaker Pipelines).

Responsibilities

• Design, build, and deploy generative AI solutions using LLMs.
• Fine-tune and customize foundation models using domain-specific datasets.
• Develop and optimize prompt engineering strategies.
• Implement model pipelines using Python and ML frameworks.
• Agentic AI implementation expertise using Crew.ai or Lang chain.
• Collaborate with data engineers and MLOps to productionize GenAI models on cloud platforms.
• Knowledge on Azure/GCP/AWS AI platforms like Azure AI Foundry or Vertex.
• Ensure robustness, scalability, and compliance of AI models.
• Integrate GenAI into enterprise applications via APIs.
• Evaluate model performance and improve outputs through experimentation.
• Keep up to date with GenAI research and tools.

Skills

Generative AI (LLMs, Transformers)

Python, PyTorch, Hugging Face

Azure/AWS/GCP

LangChain/Langgraph

REST APIs (FastAPI/Flask)

ML pipeline tools (MLflow, Weights & B

Education

B.E/B.Tech/M.Tech/MCA

Tools

Docker

Kubernetes

Azure ML

SageMaker Pipelines

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & Summary

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 forour 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 foreach other. Learn more 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 firm’s 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 Crew.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 Technology

Degrees/Field of Study preferred

Certifications

Required Skills

DevOps

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}

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 4, 2026