Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.
The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on developing and implementing advanced AI and machine learning solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. You will independently own workstreams involving lead testing and evaluation of AI-enabled systems, analyze technical evidence and control effectiveness, and develop reusable tools that support responsible, reliable AI deployment.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. In this role at PwC, you will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations. You will uphold professional and technical standards, contributing to the firm's overall business strategies and client solutions.
Responsibilities
- Designing and optimizing AI and machine learning algorithms to enhance business processes and drive innovation
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Developing and implementing advanced AI solutions using programming languages such as Python
- Building and maintaining data infrastructure and integration systems to support complex data analysis
- Utilizing data modeling techniques to improve data quality and reliability
- Collaborating with teams to develop and deploy speech recognition algorithms and natural language processing tools
- Upholding professional and technical standards in line with the firm's code of conduct and independence requirements
- Navigating complex situations to anticipate client needs and deliver quality solutions
- Independently designing and executing tests for AI-system behavior, performance, robustness, bias, explainability, and failure modes.
- Evaluating technical controls and evidence and clearly document findings, limitations, and recommendations.
- Building reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- Demonstrating proficiency in AI implementation and complex data analysis
- Utilizing programming languages such as Python for data modeling
- Excelling in machine learning and deep learning techniques
- Integrating data infrastructure and quality management in projects
- Owning production AI systems across deployment, monitoring, evaluation, and incident response
- Evaluating failure modes, bias, drift, hallucinations, explainability, and guardrails
- Guiding architecture trade-offs to deliver measurable, defensible outcomes
- Measuring and communicating technical and business outcomes using defined methods
- Translating technical findings and limitations for clients and non-technical stakeholders
- Mentoring junior team members
The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on developing and implementing advanced AI and machine learning solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. You will independently own workstreams involving lead testing and evaluation of AI-enabled systems, analyze technical evidence and control effectiveness, and develop reusable tools that support responsible, reliable AI deployment.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. In this role at PwC, you will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations. You will uphold professional and technical standards, contributing to the firm's overall business strategies and client solutions.
Responsibilities
- Designing and optimizing AI and machine learning algorithms to enhance business processes and drive innovation
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Developing and implementing advanced AI solutions using programming languages such as Python
- Building and maintaining data infrastructure and integration systems to support complex data analysis
- Utilizing data modeling techniques to improve data quality and reliability
- Collaborating with teams to develop and deploy speech recognition algorithms and natural language processing tools
- Upholding professional and technical standards in line with the firm's code of conduct and independence requirements
- Navigating complex situations to anticipate client needs and deliver quality solutions
- Independently designing and executing tests for AI-system behavior, performance, robustness, bias, explainability, and failure modes.
- Evaluating technical controls and evidence and clearly document findings, limitations, and recommendations.
- Building reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- Demonstrating proficiency in AI implementation and complex data analysis
- Utilizing programming languages such as Python for data modeling
- Excelling in machine learning and deep learning techniques
- Integrating data infrastructure and quality management in projects
- Owning production AI systems across deployment, monitoring, evaluation, and incident response
- Evaluating failure modes, bias, drift, hallucinations, explainability, and guardrails
- Guiding architecture trade-offs to deliver measurable, defensible outcomes
- Measuring and communicating technical and business outcomes using defined methods
- Translating technical findings and limitations for clients and non-technical stakeholders
- Mentoring junior team members
The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
PwC Austin, Texas, USA Office
835 West 6th Street, Austin, TX, United States, 78703
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What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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