Develop and maintain AI-powered full-stack applications across frontend, backend, APIs, databases, and cloud environments. Integrate AI services and automation into enterprise workflows, build secure data pipelines and retrieval systems, apply natural language processing, and support deployment, monitoring, and maintenance. Collaborate with business and technical stakeholders to deliver solutions for risk, compliance, audit, and forensics clients while ensuring data quality, security, and regulatory compliance.
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.
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.
PwC San Francisco, California, USA Office
405 Howard Street Suite 600, San Francisco, CA, United States, 94105
PwC San Jose, California, USA Office
488 Amaden Boulevard, San Jose, CA, United States, 95110
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What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
