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.

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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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 Data and Analytics Engineering team, you will lead the development of innovative AI solutions tailored for health systems. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to drive project success and operational excellence while fostering productive teams that tackle complex healthcare challenges. Responsibilities - Lead the creation of innovative AI solutions for healthcare systems - Serve as a trusted advisor, utilizing knowledge to enhance project outcomes - Foster collaboration within dynamic teams to address complex challenges - Drive operational excellence through creative problem-solving approaches - Cultivate relationships with stakeholders to promote alignment on project goals - Guide teams in navigating ambiguity and delivering impactful results - Promote a culture of continuous improvement and professional development - Uphold adherence to industry standards and practices in AI implementation What You Must Have - Bachelor's Degree - At least 8 years of experience What Sets You Apart - Demonstrated experience delivering production AI or GenAI use cases in a health system environment - Hands-on experience building RAG pipelines or agentic AI workflows against clinical data sources - Experience with MLOps platforms and model governance practices in regulated, PHI-handling environments - Ability to translate clinical and revenue cycle workflows into structured AI use case requirements - Familiarity with Azure OpenAI Service, AWS Bedrock, or Google Vertex AI in a HIPAA-compliant deployment context - Understanding of population health program design and how AI accelerates outcomes - Proven record of success managing healthcare AI and GenAI solutions - Experience in analytical techniques applied to healthcare use cases - Experience working with data warehouse technology including Snowflake or Databricks The salary range for this position is: $124,000 - $280,000. 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-Hybrid #BI-Hybrid

• Design and implement complex, scalable, and secure AWS solutions tailored to client needs. • Provide technical guidance and troubleshooting support during project delivery. • Collaborate with stakeholders to gather requirements and propose effective migration strategies. • Act as a trusted advisor to customers on industry trends and emerging technologies. • Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

• Build automation workflows using n8n.io and Python as the primary platform. • Integrate APIs, databases, and AI services to create functional, scalable automation pipelines. • Work with tools like Claude Code, Codex GitHub Copilot to build agents, streamline development, and generate value from LLMs. • Write and test prompts that enable AI to complete meaningful tasks—text classification, summarization, chatbot functionality, and more. • Build task-specific AI agents or multi-step assistants powered by APIs and large language models. • Take abstract product ideas and build working MVPs quickly, with clarity and minimal oversight. • Partner with engineering leads and other Augusto team members to deliver meaningful, production-ready solutions. • Explain technical designs and limitations clearly to both technical and non-technical stakeholders.