PLS LLM Engineer-(Manager)

PwC; Hyderabad, Gurugram District, Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

PwC is seeking a seasoned GenAI engineer to join the Acceleration Center in a leadership role. You will design and deploy GenAI and agentic AI systems, build production-ready AI applications, and collaborate across teams to deliver enterprise solutions.

The role emphasizes strong programming, ML development, data pipelines, and governance with cutting-edge frameworks. Excellent communication and leadership are essential.

Qualifications

• Bachelor's or master's degree in data science, CS, statistics or related field.
• 7+ years of relevant technical experience in GenAI projects.
• Strong programming in Python, R, or Scala.
• Experience with ML libraries TensorFlow, PyTorch, scikit-learn.
• Cloud familiarity: AWS, Azure, GCP.
• Knowledge of data preprocessing and feature engineering.
• Understanding data privacy and compliance regulations.
• Certifications in data science or GenAI.
• System design and software delivery lifecycle experience.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and apply GenAI solutions.
• Design, develop, and implement GenAI and agentic AI systems.
• Build and deploy AI-powered chatbots using LLMs and tool-calling.
• Ensure outputs are consistent and aligned via guardrails and monitoring.
• Develop machine learning models to support GenAI applications.
• Prepare structured and unstructured data for ML pipelines.
• Collaborate with data engineers to design data pipelines.
• Validate model and agent performance using defined metrics.
• Develop production-ready AI applications with OOP.
• Containerize AI solutions using Docker and Kubernetes.
• Design tool-augmented agents and autonomous workflows.
• Create dashboards and visualizations to communicate insights.
• Stay updated with GenAI advancements and propose approaches.

Skills

GenAI projects

Python

Machine learning

Cloud computing

Data preprocessing

Communication

Team leadership

Education

Bachelor's or Master's degree in Data Science, CS, Statistics, or related field

BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters / MBA

Tools

TensorFlow

PyTorch

scikit-learn

Databricks Mosaic AI

MLflow

Docker

Kubernetes

Unity Catalog

Job description

Hi,

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and identify opportunities to apply Agentic AI and Generative AI (GenAI) solutions to solve complex enterprise problems.
• Design, develop, and implement advanced GenAI and Agentic AI systems, including ReAct agents (Reasoning + Acting frameworks), multi-agent architectures, and autonomous AI workflows.
• Build and deploy intelligent AI-powered chatbots and conversational agents using LLMs, tool-calling frameworks, retrieval-augmented generation (RAG), memory modules, and agent orchestration patterns.
• Ensure consistency, reliability, and alignment in AI-generated outputs through prompt engineering, evaluation frameworks, guardrails, and monitoring mechanisms.
• Develop and implement machine learning models and algorithms to support GenAI applications, including fine-tuning, embeddings, and hybrid AI architectures.
• Perform data cleaning, preprocessing, and feature engineering to prepare structured and unstructured data for machine learning and GenAI pipelines.
• Collaborate with data engineers to design efficient data pipelines and integrate ML/LLM systems into scalable production environments.
• Validate and evaluate model and agent performance using appropriate metrics (accuracy, latency, hallucination rate, consistency scoring, human evaluation frameworks).
• Develop and deploy production-ready AI applications using object-oriented programming principles, ensuring modularity, scalability, maintainability, and robustness.
• Implement containerized AI solutions using Docker and Kubernetes for orchestration, scaling, and cloud-native deployments.
• Design and implement tool-augmented agents, API-integrated workflows, and autonomous decision-making systems using modern AI agent frameworks.
• Create dashboards, reports, and visualizations to communicate AI insights and business impact clearly to technical and non-technical stakeholders.
• Continuously stay updated with advancements in GenAI, Agentic AI, multi-agent systems, LLM orchestration, and emerging AI frameworks, recommending innovative approaches to enhance enterprise AI capabilities.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 7+ years of relevant technical/technology experience, with a focus on GenAI projects.
• Strong programming skills in languages such as Python, R, or Scala.
• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and data wrangling techniques.
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools and techniques.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced and dynamic environment.
• Experience with object-oriented programming languages such as Java, C++, or C#.
  Experience developing and deploying machine learning applications in production environments.
• Understanding data privacy and compliance regulations.
• Relevant certifications in data science or GenAI technologies.
• Development experience in system designing, proven track record of software delivery through all phases of development, critical thinking, ability to clearly communicate, present and lead.

Nice to Have Skills

• Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
• Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Langgraph Semantic Kernel, etc.
• Experience in chatbot design, frontend and development.
• Certification of cloud or Genai
• Designed and implemented enterprise-grade GenAI solutions using Databricks Mosaic AI, enabling scalable LLM deployment and governance.
• Built Retrieval-Augmented Generation (RAG) pipelines using Mosaic AI Vector Search and Foundation Models for domain-specific knowledge querying.
• Fine-tuned and deployed LLMs using Mosaic AI Model Serving, optimizing inference latency and cost.
• Implemented secure LLM workflows with Unity Catalog governance and model tracking via MLflow.
• Strong background in the Healthcare domain, with deep understanding of Payer operations and working knowledge of Provider ecosystems.
• Experience in consulting engagements, including direct interaction with client stakeholders and managing client relationships.
• Demonstrated leadership experience managing and mentoring teams of 510 members.

If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact.

Preferred Qualifications

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA from reputed institute