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About the Role
The R&D Software Engineer will join a small development team to research emerging technology and user trends, create innovative concepts to enhance Schwab's customer experience, implement prototypes, and present them to Schwab Leadership. This role is for individuals who embrace challenges and are passionate about cutting-edge technology to achieve extraordinary results, turning initial ideas into tangible user experiences. The team conducts experiments to provide learnings and inspire the adoption of successful concepts into production, operating in sandbox environments to develop proofs-of-concept (PoC) that inform production product backlogs.
Responsibilities
- Collaborate with and mentor a small group of engineers on R&D initiatives, exploratory technologies, and PoCs.
- Present functional prototypes and concepts to Schwab executives and stakeholders.
- Work cross-functionally with Schwab Technology and product teams to coordinate demos, discussions, ideation sessions, and strategic planning.
- Anticipate emerging technology advancements that could impact Schwab’s products or customer experience.
- Stay current on technology and industry trends; contribute to team knowledge growth.
- Analyze consumer, business, and technical trends to inform R&D plans and experiments.
- Experiment independently to discover new insights, solve challenges, and explore new technology directions.
- Think creatively and push boundaries while leading others to do the same.
Requirements
- 4–6 years in software/computer engineering or similar technical roles.
- 1–3 years working specifically in Artificial Intelligence, with an emphasis on Generative AI.
- Experience with production deployment, architecture consultations, and presenting points of view to influence executives.
- Experience with Gen-AI and associated technologies (LLMs, PyTorch/TensorFlow, Transformer models).
- Strong understanding and passion for data analysis.
- Demonstrated success working in diverse team environments.
- Ability to quickly prototype, innovate, and find new ways to solve complex problems.
- Clear and confident communication skills for both small and large audiences.
- Ability to articulate direction, decisions, and technology recommendations.
- Experience mentoring junior engineers on frameworks, best practices, and solution design.
- Passion for high-quality engineering; intolerance for poor design or execution.
- Strong desire to “wow” customers and create visible business impact.
- Experience developing industry prototypes, PoCs, and sandbox experiments.
- Strategic thinking with the ability to translate trends into actionable project direction.
- Experience facilitating demos, ideation sessions, and planning workshops with senior leaders.
- Background integrating market research, technical insights, and consumer behavior into R&D strategies.
- Financial services or fintech industry experience (highly desirable).
Skills
- Artificial Intelligence
- Generative AI
- Gen-AI
- LLMs
- PyTorch
- TensorFlow
- Transformer models
- Data analysis
- Prototyping
- Innovation
- Problem-solving
- Communication
- Mentoring
- Strategic thinking
Experience Level
- 4-6 years software/computer engineering
- 1-3 years AI/Generative AI