PwC
Website:
pwc.com
Job details:
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.
Preferred Knowledge/Skills
JD: Google Cloud Generative AI Developer – Senior Associate
PwC US - Acceleration Center is at the forefront of innovation, and we are seeking a highly skilled and experienced
Generative AI Developer to join our dynamic team at the Senior Associate level. In this role, you will be instrumental in designing, developing, and deploying cutting-edge Generative AI applications and intelligent agents, leveraging the full power of Google Cloud Platform and advanced AI techniques.
The ideal candidate will possess a strong background in software development, AI/ML, and specifically Generative AI, with deep expertise in agentic frameworks, large language models, and cloud-native development practices on GCP. You will play a crucial role in transforming business challenges into innovative, AI-driven solutions that deliver tangible value to our clients.
Responsibilities:
- Generative AI Development: Design, develop, and deploy robust Generative AI applications and AI agents from concept to production on Google Cloud Platform.
- Agentic AI Implementation: Implement sophisticated agentic workflows, develop custom AI agents using Agent Development Kit, Gemini Enterprise / Agentspace, LangGraph, Langchain
- GCP Service Integration: Leverage and integrate a wide range of Google Cloud services, including Vertex AI (Vertex AI Studio, Model Garden, Workbench, Endpoints, Pipelines) for model management, Vector Search for efficient RAG applications, Gemini Models (e.g., Gemini Pro, Flash), Document AI for intelligent document processing, and Contact Center AI (CCAI) for conversational AI solutions.
- AI Techniques & Algorithms: Apply advanced Generative AI techniques such as Retrieval Augmented Generation (RAG), advanced Prompt Engineering, Prompt Chaining, and Text-to-SQL for data interaction and others
- Full-Stack Application Development: Build scalable and performant back-end APIs using Python (FastAPI, Flask) and contribute to or integrate with modern front-end applications developed with React.js.
- API Design & Development: Design, develop, and maintain robust and secure APIs to interface with GenAI models and applications, ensuring seamless integration with existing systems.
- Data Preparation & Management: Work with diverse datasets, preparing and optimizing data for training, fine-tuning, and inference of Generative AI models, including structured and unstructured data sources.
- Collaboration & Communication: Collaborate effectively with cross-functional teams including data scientists, product managers, and other engineers. Clearly articulate complex technical concepts and solutions to both technical and non-technical stakeholders.
- DevOps & MLOps: Implement and maintain CI/CD pipelines and MLOps practices for Generative AI applications on GCP.
Requirements:
- Experience Profile:
- Minimum 2-3 years of hands-on experience specifically with Google Cloud Platform (GCP) services.
- Minimum 2 years of experience in Data Engineering or Data Science related roles.
- Minimum 2 years of focused experience in Generative AI or Agentic AI development.
- Programming & Application Development:
- Strong proficiency in Python (3+ years preferred) with a proven track record of building and deploying scalable applications.
- Demonstrated experience with Python web frameworks such as FastAPI and Flask.
- Expertise in using Google Cloud APIs using python SDK is Must
- Familiarity or direct experience with React.js for front-end development is highly desirable.
- Solid experience in designing, developing, and consuming APIs.
- Google Cloud Platform (GCP) Expertise:
- Hands-on experience with core GCP services relevant to Generative AI development, including:
- Vertex AI (Model Garden, Workbench, Pipelines, Endpoints)
- Vector Search for embedding storage and retrieval
- Experience working with Gemini Models (e.g., Pro, Flash)
- Document AI for intelligent document processing
- Contact Center AI (CCAI) for conversational AI applications
- Containerization services (Google Kubernetes Engine - GKE, Cloud Run)
- Cloud Storage, BigQuery, and Composer
- Generative AI & Agentic AI Proficiency:
- In-depth understanding and practical experience with Agentic Development Architectures and various Agent Development Kits.
- Familiarity and willingness to work with Gemini Enterprise / Agentspace when applicable.
- Proven experience in implementing Retrieval Augmented Generation (RAG) systems.
- Expertise in Prompt Engineering and Prompt Chaining techniques.
- Experience developing Text-to-SQL solutions for natural language interaction with databases.
- Understanding of Agent-to-Agent (A2A) communication patterns.
- Experience with leading LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) or directly leveraging native SDKs for Gemini/Vertex AI models.
- Data & Database Skills:
- Proficiency in SQL for data querying, manipulation, and schema design.
- Understanding of data processing concepts relevant to Generative AI workloads.
- System Design & DevOps:
- Solid understanding of designing scalable, modular, and secure cloud-native applications, particularly for GenAI use cases.
- Strong proficiency in version control systems (Git).
- Experience with CI/CD pipelines and MLOps practices within a GCP environment (e.g., Vertex AI Pipelines).
- Communication:
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences.
Preferred Skills:
- GCP Certifications relevant to Machine Learning or Cloud Development (e.g., Professional Machine Learning Engineer, Professional Cloud Developer).
- Experience with other cloud platforms (Azure, AWS) for comparative understanding.
If you are passionate about pushing the boundaries of Generative AI and Agentic AI, thrive in a collaborative environment, and ready to leverage your expertise on Google Cloud Platform to deliver impactful client solutions, we encourage you to apply. Join PwC US-Acceleration Center and be part of a dynamic team shaping the future of AI.
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, develop, and deploy innovative Generative AI applications on Google Cloud Platform. As a Senior Associate you will guide the execution of advanced AI solutions, leveraging your knowledge in software development and AI/ML to transform business challenges into valuable outcomes. Join a dynamic environment where you can push the boundaries of technology and make a significant impact on client success.
Responsibilities
- Design and develop Generative AI applications on Google Cloud Platform
- Analyze complex business challenges and provide innovative solutions
- Mentor junior associates to enhance their technical skills
- Build relationships with clients to understand their requirements
- Collaborate with cross-functional teams to deliver quality outcomes
- Navigate complex environments to achieve project goals
- Utilize technical knowledge to drive impactful solutions
- Participate in ongoing process improvements
What You Must Have
- Bachelor's Degree
- 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- 2-3 years of experience with Google Cloud Platform preferred
- 2 years of experience in Data Engineering or Data Science preferred
- 2 years of experience in Generative AI development preferred
- Proficiency in Python for application development preferred
- Familiarity with React.js for front-end development preferred
- GCP Certifications relevant to Machine Learning preferred
- Understanding of data processing concepts for Generative AI preferred
- Experience with CI/CD pipelines and MLOps practices preferred
- Additional educational preferences
Click on Apply to know more.