Charles Schwab
San Bruno, California
Position Type: Regular Your opportunity At Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab's AI Strategy & Transformation team (AI.x), you'll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We're seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. Design, build, and deliver GenAI applications that elevate client experience and generate business impact. Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines. Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards. Mentor and coach junior engineers, fostering strong practices and continuous learning. Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment. Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability. Advance engineering standards, focusing on operational excellence and quality across all deliverables. What you have Required Qualifications 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations. Bachelor's degree in Computer Science or related field. 5+ years building complex products from scratch, running them in production, and ensuring operational reliability. 3+ years building applications leveraging AI models for measurable business impact. 3+ years developing applications and data pipelines interfacing with large datasets. 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code. Preferred Qualifications Strong computer science fundamentals and experience across the tech stack. Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production. Commitment to quality-driving high standards and writing tests at all levels. Experience writing and running evaluations for quality and consistency in LLM-generated output. Strong written and verbal communication skills to clearly convey ideas and feedback. Mentoring junior engineers and supporting their technical growth through code reviews and guidance. Mindset of continuous learning and improvement. Ability to solve complex problems with ambiguous or incomplete data in distributed systems. Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement. Experience with Python and front-end development preferred but not required. Master's or advanced degree in Computer Science or related field. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab's AI Strategy & Transformation team (AI.x), you'll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We're seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. Design, build, and deliver GenAI applications that elevate client experience and generate business impact. Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines. Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards. Mentor and coach junior engineers, fostering strong practices and continuous learning. Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment. Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability. Advance engineering standards, focusing on operational excellence and quality across all deliverables. What you have Required Qualifications 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations. Bachelor's degree in Computer Science or related field. 5+ years building complex products from scratch, running them in production, and ensuring operational reliability. 3+ years building applications leveraging AI models for measurable business impact. 3+ years developing applications and data pipelines interfacing with large datasets. 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code. Preferred Qualifications Strong computer science fundamentals and experience across the tech stack. Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production. Commitment to quality-driving high standards and writing tests at all levels. Experience writing and running evaluations for quality and consistency in LLM-generated output. Strong written and verbal communication skills to clearly convey ideas and feedback. Mentoring junior engineers and supporting their technical growth through code reviews and guidance. Mindset of continuous learning and improvement. Ability to solve complex problems with ambiguous or incomplete data in distributed systems. Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement. Experience with Python and front-end development preferred but not required. Master's or advanced degree in Computer Science or related field. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Charles Schwab
Piedmont, California
Position Type: Regular Your opportunity At Schwab, you're empowered to make an impact on your career and the financial industry. Here, innovative thinking meets creative problem solving as we challenge the status quo together. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the research platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a Sr Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, shaping how AI is safely and ethically deployed across our products and services. You'll collaborate across research, engineering, product, legal, compliance, and risk teams to design technical guardrails, evaluation frameworks, and monitoring systems that set industry benchmarks for fairness, transparency, and trust. In this highly visible and cross-functional role, you will ensure Schwab's AI systems set industry benchmarks for safety, fairness, and transparency. You'll work closely with teams across research, engineering, product, legal, compliance, and risk to address complex and emerging challenges in responsible AI. This role offers significant opportunities to innovate-designing and implementing solutions for problems where established best practices may not yet exist-and to help shape the technical and organizational standards that guide Schwab's AI systems. Your work will directly inform executive decision-making, regulatory engagement, and the development of trusted AI products at scale. What You'll Do Design and implement innovative methods for bias detection and develop technical guardrails aligned with ethical AI principles. Collaborate with cross-functional teams to ensure Schwab's AI systems meet regulatory and ethical standards. Build and maintain systems for ongoing monitoring and evaluation of AI models, integrating human-in-the-loop and automated metrics. If you're passionate about responsible AI and eager to innovate in a dynamic environment, this role is for you. What you have We're looking for someone who thrives in ambiguity, is passionate about AI ethics, and enjoys solving complex challenges where no playbook exists. Required Qualifications Master's degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field, or equivalent experience. 10+ years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts). Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability. Experience with responsible generative AI challenges and risk mitigations. Strong analytical, problem-solving, and communication skills for technical and non-technical audiences. Curiosity and passion for AI policy and governance. Preferred Qualifications 7+ years of experience in AI/ML research and development using Python. Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards. Track record of publishing research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS). Experience working with LLMs and deploying LLM-powered applications to production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds and encourage you to apply even if you don't meet every requirement. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you're empowered to make an impact on your career and the financial industry. Here, innovative thinking meets creative problem solving as we challenge the status quo together. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the research platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a Sr Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, shaping how AI is safely and ethically deployed across our products and services. You'll collaborate across research, engineering, product, legal, compliance, and risk teams to design technical guardrails, evaluation frameworks, and monitoring systems that set industry benchmarks for fairness, transparency, and trust. In this highly visible and cross-functional role, you will ensure Schwab's AI systems set industry benchmarks for safety, fairness, and transparency. You'll work closely with teams across research, engineering, product, legal, compliance, and risk to address complex and emerging challenges in responsible AI. This role offers significant opportunities to innovate-designing and implementing solutions for problems where established best practices may not yet exist-and to help shape the technical and organizational standards that guide Schwab's AI systems. Your work will directly inform executive decision-making, regulatory engagement, and the development of trusted AI products at scale. What You'll Do Design and implement innovative methods for bias detection and develop technical guardrails aligned with ethical AI principles. Collaborate with cross-functional teams to ensure Schwab's AI systems meet regulatory and ethical standards. Build and maintain systems for ongoing monitoring and evaluation of AI models, integrating human-in-the-loop and automated metrics. If you're passionate about responsible AI and eager to innovate in a dynamic environment, this role is for you. What you have We're looking for someone who thrives in ambiguity, is passionate about AI ethics, and enjoys solving complex challenges where no playbook exists. Required Qualifications Master's degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field, or equivalent experience. 10+ years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts). Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability. Experience with responsible generative AI challenges and risk mitigations. Strong analytical, problem-solving, and communication skills for technical and non-technical audiences. Curiosity and passion for AI policy and governance. Preferred Qualifications 7+ years of experience in AI/ML research and development using Python. Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards. Track record of publishing research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS). Experience working with LLMs and deploying LLM-powered applications to production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds and encourage you to apply even if you don't meet every requirement. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Charles Schwab
Daly City, California
Position Type: Regular Your opportunity At Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab's AI Strategy & Transformation team (AI.x), you'll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We're seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. Design, build, and deliver GenAI applications that elevate client experience and generate business impact. Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines. Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards. Mentor and coach junior engineers, fostering strong practices and continuous learning. Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment. Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability. Advance engineering standards, focusing on operational excellence and quality across all deliverables. What you have Required Qualifications 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations. Bachelor's degree in Computer Science or related field. 5+ years building complex products from scratch, running them in production, and ensuring operational reliability. 3+ years building applications leveraging AI models for measurable business impact. 3+ years developing applications and data pipelines interfacing with large datasets. 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code. Preferred Qualifications Strong computer science fundamentals and experience across the tech stack. Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production. Commitment to quality-driving high standards and writing tests at all levels. Experience writing and running evaluations for quality and consistency in LLM-generated output. Strong written and verbal communication skills to clearly convey ideas and feedback. Mentoring junior engineers and supporting their technical growth through code reviews and guidance. Mindset of continuous learning and improvement. Ability to solve complex problems with ambiguous or incomplete data in distributed systems. Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement. Experience with Python and front-end development preferred but not required. Master's or advanced degree in Computer Science or related field. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab's AI Strategy & Transformation team (AI.x), you'll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We're seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. Design, build, and deliver GenAI applications that elevate client experience and generate business impact. Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines. Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards. Mentor and coach junior engineers, fostering strong practices and continuous learning. Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment. Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability. Advance engineering standards, focusing on operational excellence and quality across all deliverables. What you have Required Qualifications 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations. Bachelor's degree in Computer Science or related field. 5+ years building complex products from scratch, running them in production, and ensuring operational reliability. 3+ years building applications leveraging AI models for measurable business impact. 3+ years developing applications and data pipelines interfacing with large datasets. 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code. Preferred Qualifications Strong computer science fundamentals and experience across the tech stack. Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production. Commitment to quality-driving high standards and writing tests at all levels. Experience writing and running evaluations for quality and consistency in LLM-generated output. Strong written and verbal communication skills to clearly convey ideas and feedback. Mentoring junior engineers and supporting their technical growth through code reviews and guidance. Mindset of continuous learning and improvement. Ability to solve complex problems with ambiguous or incomplete data in distributed systems. Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement. Experience with Python and front-end development preferred but not required. Master's or advanced degree in Computer Science or related field. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Charles Schwab
Piedmont, California
Position Type: Regular Your opportunity At Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab's AI Strategy & Transformation team (AI.x), you'll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We're seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. Design, build, and deliver GenAI applications that elevate client experience and generate business impact. Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines. Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards. Mentor and coach junior engineers, fostering strong practices and continuous learning. Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment. Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability. Advance engineering standards, focusing on operational excellence and quality across all deliverables. What you have Required Qualifications 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations. Bachelor's degree in Computer Science or related field. 5+ years building complex products from scratch, running them in production, and ensuring operational reliability. 3+ years building applications leveraging AI models for measurable business impact. 3+ years developing applications and data pipelines interfacing with large datasets. 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code. Preferred Qualifications Strong computer science fundamentals and experience across the tech stack. Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production. Commitment to quality-driving high standards and writing tests at all levels. Experience writing and running evaluations for quality and consistency in LLM-generated output. Strong written and verbal communication skills to clearly convey ideas and feedback. Mentoring junior engineers and supporting their technical growth through code reviews and guidance. Mindset of continuous learning and improvement. Ability to solve complex problems with ambiguous or incomplete data in distributed systems. Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement. Experience with Python and front-end development preferred but not required. Master's or advanced degree in Computer Science or related field. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office. As part of Schwab's AI Strategy & Transformation team (AI.x), you'll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences. We're seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications. Design, build, and deliver GenAI applications that elevate client experience and generate business impact. Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines. Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards. Mentor and coach junior engineers, fostering strong practices and continuous learning. Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment. Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability. Advance engineering standards, focusing on operational excellence and quality across all deliverables. What you have Required Qualifications 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations. Bachelor's degree in Computer Science or related field. 5+ years building complex products from scratch, running them in production, and ensuring operational reliability. 3+ years building applications leveraging AI models for measurable business impact. 3+ years developing applications and data pipelines interfacing with large datasets. 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code. Preferred Qualifications Strong computer science fundamentals and experience across the tech stack. Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production. Commitment to quality-driving high standards and writing tests at all levels. Experience writing and running evaluations for quality and consistency in LLM-generated output. Strong written and verbal communication skills to clearly convey ideas and feedback. Mentoring junior engineers and supporting their technical growth through code reviews and guidance. Mindset of continuous learning and improvement. Ability to solve complex problems with ambiguous or incomplete data in distributed systems. Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement. Experience with Python and front-end development preferred but not required. Master's or advanced degree in Computer Science or related field. In addition to the salary range, this role is eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
