YOUR OPPORTUNITY

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
At the heart of innovation at Schwab, the AI Incubation and Enablement Team is where cutting-edge ideas come to life. Our mission is to develop new and novel AI applications that transform the way Schwab serves its clients, enhancing experiences and driving value across the organization. We don’t just solve today’s challenges, we anticipate tomorrow’s opportunities, pioneering solutions that position Schwab as a leader in financial services innovation.
The AI Incubation and Enablement team is looking for a talented, technical, hands-on Engineer to drive the development of innovative AI solutions. This position will be focused on driving rapid, iterative software development using Large Language Models.
In the Applied AI Engineer III role on the AI Incubation and Enablement team you will be a strong developer with deep technical knowledge as well as the ability to help other team members in solving complex technical issues. You will work closely with architects, technologists, and business partners to align with the team and organization technology strategies.
You have a bias for action and are good at finding a way to make progress and execute even in the face of technical challenges. You are constantly learning about new technologies with continuous innovation and adoption of new standards and best practices. This is an opportunity to be a part of a cutting-edge team respected for products and platforms used across multiple Schwab organizations.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree or advanced degrees in Computer Science or related field.
• 3+ years of software development experience in startups and large organizations.
• 2+ years of experience building complex products from scratch and running them in production.
• 1+ years of experience building applications that use AI models to deliver business value.

PREFERRED QUALIFICATIONS:

• Strong computer science fundamentals and experience working across different parts of the tech stack.
• Focus on quality in everything you do. Continue to raise the bar and deliver high-quality products, with experience writing tests at all levels of the test pyramid.
• Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team.
• Experience building applications and data pipelines that interface with large datasets.
• Experience with containers and cloud-native applications, and the ability to operationalize them in the public cloud with infrastructure as code.
• Demonstrated mindset of continuous learning and improvement.
• Ability to solve problems with ambiguous or incomplete data in complex codebases.
• Demonstrated business domain knowledge related to all products you have worked on.
• Curiosity about new technologies and processes – you always seek to improve yourself and proactively seek and share knowledge with others on your team.
• Experience working with LLMs and shipping LLM-powered applications to production is a big plus.
• Experience with Python, Java and Angular preferred but not required.
  In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

Please refer the Job description for details