IN_Senior Associate GEN AI Engineer_ Emerging Technologies_ Advisory_ Bangalore

Job description

**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Operations **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. **Jo b Description & Summary:**   We are   seekin g   a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will   be responsible fo r   designing, developing, and deploying scalable Generative AI solutions using   state-of-the-ar t   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 :**   3   to   5   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: MBA (Master of Business Administration) Degrees/Field of Study preferred: **Certifications** *(if blank, certifications not specified)* **Required Skills** Generative AI **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