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. Those in data science and machine learning engineering at PwC will focus on leveraging 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 visualisations to solve complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. 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. The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This role allows you to be at the forefront of technological advancement while mentoring the next generation of engineers and shaping the future of AI solutions. Responsibilities - Mentor junior engineers and foster their growth - Maintain security and scalability of AI-powered solutions - Collaborate with cross-functional teams to achieve project goals - Stay at the forefront of technological advancements in AI What You Must Have - Bachelor's Degree - At least 6 years of experience in software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college What Sets You Apart - Master's Degree preferred - Demonstrating proven experience leading cloud and platform engineering teams - Offering hands-on experience with Azure, DevOps, and enterprise integration patterns - Bringing systems thinking to design end-to-end platforms - Coaching and mentoring engineers to foster a culture of excellence - Managing delivery plans, dependencies, and risks effectively - Operating production platforms with a focus on reliability and security - Working with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities - Defining and enforcing automated testing strategies - Architecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategy The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote

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. Those in data science and machine learning engineering at PwC will focus on leveraging 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 visualisations 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 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: 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. Use 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. The Opportunity 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 exciting 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 What You Must Have - 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, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college 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 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 The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position 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. 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote,#LI-Hybrid #BI-Hybrid

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. Those in data science and machine learning engineering at PwC will focus on leveraging 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 visualisations 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 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: 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. Use 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. The Opportunity 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 exciting 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 What You Must Have - 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, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college 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 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 The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position 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. 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote,#LI-Hybrid #BI-Hybrid

Role Description We are seeking an exceptional Senior AI Engineer & Full-Stack Architect to become the founding technical leader of our platform. You will design and build the first version of an AI-powered behavioral health platform capable of: - Conducting AI-guided psychological intake interviews. - Drafting Psychological Diagnostic Evaluations (PDEs) for clinician review. - Generating personalized treatment plans and learning pathways. - Delivering interactive AI coaching and educational courses. - Tracking client outcomes and engagement. - Supporting clinicians through intelligent documentation and workflow automation. This role is ideal for someone who enjoys building innovative products from the ground up and wants to have a meaningful impact on the future of mental health technology. Responsibilities - AI Development - Design and develop sophisticated AI workflows using large language models. - Build conversational AI agents capable of conducting structured behavioral health interviews. - Develop AI systems that generate draft clinical documentation for licensed clinician review. - Optimize AI performance through prompt engineering, testing, and evaluation. - Improve response quality, personalization, and safety over time. - Build scalable AI agent architectures. - Full-Stack Development - Design and build the web application. - Develop mobile applications for iOS and Android. - Build secure authentication and user management. - Develop clinician and client dashboards. - Create APIs and backend services. - Build databases and cloud infrastructure. - Implement role-based permissions and audit logging. - Integrate AI services into the platform. - Platform Architecture - Design scalable cloud architecture. - Ensure high availability and performance. - Implement encryption and security best practices. - Optimize system reliability and maintainability. - Build for future scalability. - Product Collaboration - Work directly with the Founder to translate behavioral health expertise into an innovative AI platform. - Participate in: - Product strategy - Feature planning - User experience discussions - Technical architecture decisions - AI capability planning - Long-term product roadmap Qualifications - 5+ years of full-stack software development experience. - Strong experience with modern JavaScript frameworks such as React or Next.js. - Strong backend development experience using Python. - Experience building REST APIs. - Experience designing relational databases. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Experience integrating large language models into production applications. - Experience with AI agent frameworks or equivalent orchestration approaches. - Experience deploying scalable web applications. - Strong understanding of software architecture. - Excellent communication skills. - Ability to work independently in a startup environment. Preferred Qualifications - Experience building healthcare software. - Familiarity with HIPAA and healthcare security considerations. - Experience developing conversational AI. - Experience with voice AI integrations. - Mobile application development experience. - Experience building SaaS products. - Startup experience from concept through launch. Bonus Qualifications - Experience with: - Retrieval-augmented generation (RAG) - AI evaluation frameworks - Vector databases - LangGraph, LangChain, or similar AI orchestration tools - Speech-to-text and text-to-speech systems - Avatar or digital human technologies - Analytics dashboards - Payment platform integrations Compensation $85–$110 per hour Success Looks Like Within the first six months, you will have helped build: - A secure AI-powered mental wellness platform. - AI-guided psychological intake workflows. - AI-generated PDE drafts for clinician review. - Personalized learning and treatment pathways. - Interactive educational modules. - Client and clinician dashboards. - Mobile applications. - A scalable platform ready for pilot deployment. Benefits - Competitive salary - Opportunity for advancement - Training & development - Contract (6–12 months) with opportunity for long-term partnership. Location Remote (United States preferred) Company Description We are building the future of mental wellness through artificial intelligence. Our mission is to create the world’s first AI-powered Mental Wellness University, where individuals learn evidence-based skills to improve emotional health through personalized curricula, interactive coaching, and clinically informed AI guidance. This is not another chatbot. We’re creating an intelligent platform that conducts AI-assisted psychological evaluations, develops personalized learning plans, delivers structured mental wellness courses, tracks progress, and empowers people to build lifelong emotional resilience.