PwCPosted 1w ago

IN_Senior Associate_Generative AI Engineer _Emerging Business_Advisory_Gurgaon

IN_Senior Associate_Generative AI Engineer _Emerging Business_Advisory_Gurgaon at PwC scores 98 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Gurugram Novus TowerFull time

AI in this role

openaianthropicmistralllamalangchainlanggraphhugging-facepineconeweaviatepytorchmlflowweights-and-biases+1

prompt-engineeringragfine-tuningml-opsnlp

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 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. 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 (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

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}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 14, 2026

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagFine TuningMl OpsNlpOpenAIAnthropicMistral

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Rag, Fine Tuning, Ml Ops, and Nlp. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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