Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Software and Product Innovation team you will design and deploy AI-powered
solutions that are scalable, user-friendly, and integrated within real-world applications. As a
Senior Associate, you will analyze complex problems, mentor others, and uphold exceptional
standards while focusing on building meaningful client connections and navigating increasingly
complex situations. Join us to shape the future with AI and innovation, where your contributions
will drive real-world impact and transform industries at scale. Join Us to Shape the Future with AI
and Innovation. At Commercial Technology & Innovation (CT&I), we&
39;re not just building solutions
we&
39;re reshaping the future of business. As the tech engine behind PwC&
39;s Advisory platforms, we
embed AI, automation, and cutting-edge engineering into everything we do, delivering smarter,
faster, and bolder solutions that drive real-world impact. Our mission is to power possibility
working with bold thinkers to turn vision into reality and transform industries at scale. We&
39;re
looking for passionate, curious, and purpose-driven engineers who want to make a difference. If
you&
39;re ready to innovate with intent, drive business outcomes, and help lead the AI-enabled
transformation of one of the world&
39;s most trusted organizations, your journey starts here.
Responsibilities
- Work with cross-functional teams to enhance product development
- Maintain exceptional standards of quality and performance in deliverables
- Navigate complex situations to drive project success
- Contribute to the evolution of AI technologies and methodologies
What You Must Have
- Bachelor&
39;s Degree
- 3 years of experience
- Designing, training, and deploying machine learning models and Large Language Models
(LLMs) into production environments
- Developing scalable, cloud-native microservices using tools like Docker and Kubernetes
- Building end-to-end AI applications integrated into web, mobile, or API-frst platforms
- Managing CI/CD pipelines and observability for AI systems using tools such as GitHub Actions
and MLfow
- Implementing vector databases, Retrieval-Augmented Generation (RAG) pipelines, and
orchestration tools like LangChain and LlamaIndex
- Building and integrating multi-agent frameworks (e.g., LangGraph, LangFlow) to enable
autonomous AI task execution
- Translating complex business problems into software-engineered AI solutions aligned with best
practices
- Deploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as SageMaker,
Vertex AI, or Databricks
- Being profcient in Python and ML frameworks like PyTorch, TensorFlow, and Hugging Face
Transformers
Job Description Data
- Working in cross-functional engineering environments including front-end (React, Next.js) and
platform teams
- Being familiar with LLM providers (OpenAI, Anthropic, Meta, etc.) and working with chat/imagebased model outputs
- Having hands-on experience with agent-based frameworks for intelligent orchestration
What Sets You Apart
- Master&
39;s Degree in Computer Science, Artifcial Intelligence and Robotics, Software Engineering,
Data Processing/Analytics/Science preferred
- Delivering AI applications using RAG, vector databases, and agent-based frameworks
- Working with multimodal inputs/outputs (text, image, audio)
- Fine-tuning models on domain-specifc data
- Applying Responsible AI practices including governance, bias mitigation, and ethics
- Maintaining consistency and quality in model outputs in production or regulated environments
- Contributing to open-source projects or AI/ML publications
- Demonstrating versatile development experience across front-end, back-end, and database
layers