Develop and support AI-powered full-stack applications across frontend, backend, APIs, databases, and cloud environments. Build data pipelines, retrieval systems, and integrations for secure enterprise data access. Integrate AI services and automation, apply natural language processing, support deployment and monitoring, and collaborate with business and technical stakeholders to deliver client solutions across risk, audit, compliance, and forensic domains.
The Opportunity
As an ERCS Data & Tech - Forward Deployed Engineer, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Risk & Regulatory practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role, you are expected to take ownership of project tasks focused on designing, building, and supporting scalable technology solutions that leverage AI capabilities. You will work closely with business and technical stakeholders to deliver innovative solutions that address challenges across multiple risk domains, including internal audit, SOX compliance, and forensics. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, while taking ownership and consistently delivering quality work that drives value for our clients and success as a team.
Responsibilities
- Developing, testing and maintaining AI-powered full-stack applications
- Building application features across frontend, backend, APIs, databases, and cloud environments.
Integrate AI services and automation capabilities into enterprise applications and business workflows
- Collaborating with team members to translate business requirements into technical solutions and application functionality.
- Supporting application deployment, monitoring, and maintenance using modern software engineering and DevOps practices
- Ensuring data quality, security, and compliance requirements are incorporated into application development activities
- Building and maintaining data pipelines, retrieval systems, and integrations that enable AI-powered applications to access, process, and utilize enterprise data efficiently and securely
- Applying natural language processing techniques to improve text analytics
- Participating in client support activities to address data and technology challenges
What You Must Have
- At least a Bachelor's degree
- At least 1 year of experience designing, developing, and supporting software applications, AI-powered solutions, or related technology platforms
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 strong foundation in software engineering principles, application development, and system design
- Building and supporting full-stack applications using frontend and backend technologies
- Integrating AI capabilities into applications using platforms such as OpenAI, Azure AI, Copilot Studio, Gemini, Claude, AgentSpace, and similar technologies.
- Implementing AI solutions with a focus on natural language processing
- Excelling in active listening and communication within team environments
The salary range for this position is: $63,000 - $140,000. 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.
#LI-Hybrid
#BI-Hybrid
As an ERCS Data & Tech - Forward Deployed Engineer, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Risk & Regulatory practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role, you are expected to take ownership of project tasks focused on designing, building, and supporting scalable technology solutions that leverage AI capabilities. You will work closely with business and technical stakeholders to deliver innovative solutions that address challenges across multiple risk domains, including internal audit, SOX compliance, and forensics. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, while taking ownership and consistently delivering quality work that drives value for our clients and success as a team.
Responsibilities
- Developing, testing and maintaining AI-powered full-stack applications
- Building application features across frontend, backend, APIs, databases, and cloud environments.
Integrate AI services and automation capabilities into enterprise applications and business workflows
- Collaborating with team members to translate business requirements into technical solutions and application functionality.
- Supporting application deployment, monitoring, and maintenance using modern software engineering and DevOps practices
- Ensuring data quality, security, and compliance requirements are incorporated into application development activities
- Building and maintaining data pipelines, retrieval systems, and integrations that enable AI-powered applications to access, process, and utilize enterprise data efficiently and securely
- Applying natural language processing techniques to improve text analytics
- Participating in client support activities to address data and technology challenges
What You Must Have
- At least a Bachelor's degree
- At least 1 year of experience designing, developing, and supporting software applications, AI-powered solutions, or related technology platforms
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 strong foundation in software engineering principles, application development, and system design
- Building and supporting full-stack applications using frontend and backend technologies
- Integrating AI capabilities into applications using platforms such as OpenAI, Azure AI, Copilot Studio, Gemini, Claude, AgentSpace, and similar technologies.
- Implementing AI solutions with a focus on natural language processing
- Excelling in active listening and communication within team environments
The salary range for this position is: $63,000 - $140,000. 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.
#LI-Hybrid
#BI-Hybrid
PwC El Segundo, California, USA Office
2141 Rosecrans Avenue Suite 5100, El Segundo, CA, United States, 90245
PwC Irvine, California, USA Office
2020 Main Street Suite 400, Irvine, CA, United States, 92614
PwC Los Angeles, California, USA Office
601 South Figueroa Street Suite 900, Los Angeles, CA, United States, 90017
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
