Not Applicable
Specialism
Emerging Technologies
Management Level
Senior Associate
& Summary
At PwC, our people in software and product innovation focus on developing cuttingedge 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 cuttingedge technologies to drive innovation and transformation for clients You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT)
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 purposeled and valuesdriven 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, pregcy, 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
& 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 stateoftheart 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 handson 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 opensource models (eg, LLaMA, Falcon)
Finetune and customize foundation models using domainspecific datasets and techniques Develop and optimize prompt engineering strategies to drive accurate and contextaware 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 opensource 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 (eg, Azure ML, SageMaker pipelines)
Preferred skill sets
RAG (RetrievalAugmented 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
Degrees/Field of Study required MBA (Master of Business Administration), Bachelor of Engineering
Degrees/Field of Study preferred
Required Skills
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BWBPS), 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
Available for Work Visa Sponsorship
