IN_Manager _AI Architect_GCC_ Advisory_ Hyderabad

Advisory

Not Applicable

Data, Analytics & AI

Manager

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

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: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  

Responsibilities: 

 

Key Responsibilities 

•  Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining. 

• Design APIs for model inferencing at scale. 

• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. 

• LLM Serving & GPU Architecture: Deep knowledge of GPU architectures, distributed training, and serving of large language models. 

• Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models. 

•  DevOps & LLMOps Proficiency: Expertise in Kubernetes, Docker, Container Orchestration, and LLM orchestration frameworks (Flowise, Langflow, Langgraph). 

 

Mandatory skill sets: 

 

• Gen AI, LLM, Hugging Face 

• Python, PyTorch/TensorFlow/Keras 

•  Langchain, Langgraph 

• Docker, Kubernetes 

 

 

Preferred skill sets: 

 

•  Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery 

• Cloud Knowledge: AWS, Azure, GCP 

• DevOps Tools: FluentD, Kibana, Grafana, Prometheus 

• Proficient in Python, SQL, JavaScript 

•  

Years of experience required: 

 

7-11 

Education Details 

B.Tech / M.Tech / MBA / MCA 

SAP Business Warehouse

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion {+ 33 more}

Not Specified

No

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January 27, 2026