Gen AI Engineer- Senior Associate

PwC

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

PwC Acceleration Center in Bengaluru invites a Senior Associate GenAI Software Engineer to design and implement GenAI software solutions. You will work with cross-functional teams, apply event-driven architectures, and deploy containerized apps on cloud platforms.

You will use Python, build data pipelines, and mentor junior engineers while advancing GenAI initiatives within a collaborative, fast-paced environment.

Qualifications

Bachelor’s Degree required.
4 years of software engineering experience.
English proficiency (oral and written).
Experience with GenAI frameworks/tools preferred.

Responsibilities

Design and develop software solutions for GenAI projects.
Collaborate with cross-functional teams to drive innovation.
Analyze complex technical challenges to inform project strategies.
Mentor junior engineers to enhance their technical skills.
Contribute to impactful projects shaping the future of technology.

Skills

Python proficiency

Scalable design

Flask/FastAPI

Modular design

Cloud-native

CI/CD practices

Git

Containerization

GenAI frameworks

Education

Bachelor’s Degree

Tools

Kubernetes

Azure

AWS

Job description

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Associate

Job Description & Summary

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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Senior Associate GenAI Software Engineer (PwC US)

PwC US - Acceleration Center is seeking a highly skilled and experienced Senior Associate GenAI Software Engineer to join our team. As a GenAI Software Engineer, you will play a critical role in developing and implementing software solutions for our GenAI projects. The ideal candidate should have a strong background in software engineering, with a focus on GenAI technologies, and possess a solid understanding of programming, event‑driven architectures, containerization, and data lakes.

Responsibilities

Collaborate with cross‑functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
Design, develop, and maintain software solutions for GenAI projects.
Implement event‑driven architectures to enable real‑time data processing and analysis.
Utilize containerization technologies like Kubernetes for efficient deployment and scalability.
Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data.
Utilize Python as the primary programming language for software development.
Collaborate with data scientists, data engineers, and DevOps engineers to ensure smooth integration and deployment of GenAI models and applications.
Stay up‑to‑date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes.
Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions.
Document software engineering processes, methodologies, and best practices.
Maintain solution architecture certificates and stay current with industry best practices.

Requirements

Python Proficiency:

Minimum 3 years of hands‑on experience building applications with Python.

Scalable System Design:

Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, with a strong understanding of various components and systems architecture patterns to make cohesive and decoupled, scalable applications.

Web Frameworks:

Familiarity with Python web frameworks (Flask, FastAPI) for building web applications around AI models.

Modular Design & Security:

Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc.,).

Cloud‑Native Development:

Familiarity with cloud‑native development patterns and tools (e.g., REST APIs, microservices, serverless functions).

Cloud Deployments:

Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar).

Version Control (Git):

Strong proficiency in Git for effective code collaboration and management.

CI/CD:

Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms.

Preferred Skills

Gen AI Frameworks:

Experience with LLM frameworks or tools for interacting with LLMs such as LangChain, Semantic Kernel, LlamaIndex

Data Pipelines:

Experience in setting up data pipelines for model training and real‑time inference.

Professional and Educational Background:

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

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data Engineering team you will design and develop software solutions for GenAI projects, collaborating with cross‑functional teams to drive innovation. As a Senior Associate, you will analyze complex technical challenges, mentor junior engineers, and contribute to impactful projects that shape the future of GenAI technologies. This position offers a unique opportunity to enhance your technical skills and personal brand in a collaborative environment.

Responsibilities