GoFundMe
Overview
AI Platform Lead Architect role at GoFundMe. GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. The GoFundMe team is seeking an AI Platform Lead Architect to design our AI platform and develop our next generation of machine learning and AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business. Candidates considered for this role will be located in the San Francisco, Bay Area with an in-office requirement of 3x a week. Responsibilities
Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases. Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions. Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems. Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets. Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems. Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services. Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation. Collaborate with data and applied scientists, software engineers, product managers, and business stakeholders to deliver reliable and scalable ML-driven products. Coach and mentor fellow ML engineers to promote collaboration, continuous improvement, and engineering excellence. Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build and maintain scalable ML infrastructure. Qualifications
9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields with emphasis on secure, large-scale, distributed system design and AI/ML pipeline development. Experience designing, developing, and operating scalable backend systems using software engineering best practices (e.g., domain-driven design, event-driven architectures, microservices). Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices. Strong knowledge of relational and document-based databases, data storage paradigms, and RESTful API design. Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices. Leadership skills including planning and managing complex projects, mentoring team members, and fostering a collaborative, high-performing engineering culture. Excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. Bachelor’s degree in Computer Science, Software Engineering, or related technical field (preferred). Proficiency in Python and provisioning cloud-based infrastructure via code (AWS preferred). Humor is optional but appreciated. Why you’ll love it here
Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support: Financial assistance for hybrid work, family planning, generous parental leave, flexible time-off policies, and mental health and wellness resources. Growth Opportunities: Participate in learning, development, and recognition programs. Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement: Contribute to volunteering and Gives Back programs. We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. GoFundMe is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position is $216,500 - $324,500 plus equity and benefits. Hybrid work arrangement; salary range determined by role, level, and location. Your recruiter can share more about the specific salary range based on location during the hiring process. If you require a reasonable accommodation to complete a job application or interview, please contact accommodationrequests@gofundme.com. Global Data Privacy Notice for Job Candidates and Applicants: Depending on location, GDPR or applicable US privacy laws may regulate data management. Our full notice is available here. By submitting your application, you agree to the processing of your data as described.
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AI Platform Lead Architect role at GoFundMe. GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. The GoFundMe team is seeking an AI Platform Lead Architect to design our AI platform and develop our next generation of machine learning and AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business. Candidates considered for this role will be located in the San Francisco, Bay Area with an in-office requirement of 3x a week. Responsibilities
Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases. Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions. Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems. Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets. Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems. Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services. Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation. Collaborate with data and applied scientists, software engineers, product managers, and business stakeholders to deliver reliable and scalable ML-driven products. Coach and mentor fellow ML engineers to promote collaboration, continuous improvement, and engineering excellence. Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build and maintain scalable ML infrastructure. Qualifications
9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields with emphasis on secure, large-scale, distributed system design and AI/ML pipeline development. Experience designing, developing, and operating scalable backend systems using software engineering best practices (e.g., domain-driven design, event-driven architectures, microservices). Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices. Strong knowledge of relational and document-based databases, data storage paradigms, and RESTful API design. Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices. Leadership skills including planning and managing complex projects, mentoring team members, and fostering a collaborative, high-performing engineering culture. Excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. Bachelor’s degree in Computer Science, Software Engineering, or related technical field (preferred). Proficiency in Python and provisioning cloud-based infrastructure via code (AWS preferred). Humor is optional but appreciated. Why you’ll love it here
Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support: Financial assistance for hybrid work, family planning, generous parental leave, flexible time-off policies, and mental health and wellness resources. Growth Opportunities: Participate in learning, development, and recognition programs. Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement: Contribute to volunteering and Gives Back programs. We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. GoFundMe is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position is $216,500 - $324,500 plus equity and benefits. Hybrid work arrangement; salary range determined by role, level, and location. Your recruiter can share more about the specific salary range based on location during the hiring process. If you require a reasonable accommodation to complete a job application or interview, please contact accommodationrequests@gofundme.com. Global Data Privacy Notice for Job Candidates and Applicants: Depending on location, GDPR or applicable US privacy laws may regulate data management. Our full notice is available here. By submitting your application, you agree to the processing of your data as described.
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