US Tech - AI Engineering Senior Associate

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 science and machine learning engineering, you will leverage advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems.

Focused on relationships, you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you grow your personal brand, deepen technical expertise, and develop awareness of your strengths. You are expected to anticipate the needs of your teams and clients while delivering quality. Embracing increased ambiguity, you remain comfortable when the path forward isn’t clear, ask questions, and use these moments as opportunities to grow.

About the Role

As part of the People Tech & AI team, you will develop, test, and validate Generative AI agents and data pipelines, promoting reliability, scalability, and alignment with PwC standards. As a Senior Associate, you will analyze complex problems, mentor others, and maintain elevated standards while collaborating with multidisciplinary teams to support AI-enabled client solutions. This position provides an opportunity to enhance your skills in automated testing and governance controls while contributing to innovative AI-driven solutions.

Responsibilities

• Apply automated testing and governance controls effectively
• Analyze complex issues and provide actionable insights
• Mentor and guide junior associates in their tasks
• Uphold rigorous standards of quality and technical excellence

Requirements

• Bachelor's Degree in Computer Science, Data Processing/Analytics/Science
• At least 2 years of experience in data engineering, AI/ML engineering, or quality engineering
• In lieu of a Bachelor's Degree, demonstrating three years of specialized training and/or progressively responsible work experience in technology for each missing year of college

Skills

• Respond effectively to the diverse perspectives, needs, and feelings of others
• Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems
• Apply critical thinking to break down complex concepts
• Understand the broader objectives of your project or role and how your work fits into the overall strategy
• Develop a deeper understanding of the business context and how it is changing
• Use reflection to develop self-awareness, enhance strengths, and address development areas
• Interpret data to inform insights and recommendations
• Uphold and reinforce professional and technical standards (e.g., refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements

What Sets You Apart

• Demonstrating three years of specialized training in technology preferred
• Experience with test automation and CI/CD pipelines
• Familiarity with LLMs and prompt engineering concepts
• Understanding of enterprise data patterns and quality frameworks
• Building and maintaining automated test suites for AI agents
• Validating integrations with Power Automate platform
• Executing LLM evaluation frameworks using defined metrics
• Working with data scientists and ML engineers
• Upholding professional standards and documentation expectations

Pay

The salary range for this position is $55,000 - $151,470. For residents of Washington state, the salary range is $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits

• Medical, dental, and vision coverage
• 401k retirement plan
• Holiday pay
• Vacation time
• Personal and family sick leave

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance.