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About the Role

As a Software Developer within Enterprise Architecture Solutions Engineering, you will help shape the future of how engineering teams across Schwab build, govern, and scale AI-powered solutions. This is a hands-on software engineering role where you will design and deliver production-ready capabilities that accelerate innovation while maintaining the security, reliability, and governance standards required in a large enterprise environment. You’ll contribute to a portfolio of platforms and services that enable developers to build with AI more effectively, including agentic frameworks, governance solutions, architecture assessment tooling, and enterprise engineering platforms. Using strong software engineering fundamentals and emerging AI technologies, you’ll solve complex technical challenges, develop scalable solutions, and partner closely with architects, engineers, and cross-functional stakeholders to deliver business impact. Your ability to learn quickly, adapt to new technologies, and apply sound engineering judgment will be critical as priorities evolve across products, cloud environments, and AI frameworks. You’ll also have opportunities to expand your expertise in areas such as generative AI, agentic systems, model orchestration, evaluation frameworks, cloud-native development, and responsible AI practices. Working alongside highly skilled technology professionals, you’ll contribute to innovative solutions that help engineering teams across Schwab deliver with greater speed, consistency, and confidence.

Responsibilities

Design and deliver production-ready capabilities that accelerate innovation.
Contribute to a portfolio of platforms and services that enable developers to build with AI more effectively.
Solve complex technical challenges using strong software engineering fundamentals and emerging AI technologies.
Develop scalable solutions.
Partner closely with architects, engineers, and cross-functional stakeholders to deliver business impact.
Expand expertise in areas such as generative AI, agentic systems, model orchestration, evaluation frameworks, cloud-native development, and responsible AI practices.

Requirements

Bachelor’s degree in Computer Science or equivalent professional experience.
4+ years of experience designing, building, and supporting enterprise software applications.
Demonstrated experience applying strong software engineering fundamentals, including object-oriented design principles, software design patterns, and scalable application architecture.
Experience developing and delivering software solutions that solve complex business and technical problems through analytical thinking and sound engineering practices.
Hands-on experience with at least one of the following areas: agentic systems and orchestration, retrieval-augmented generation (RAG), prompt and context engineering, generative AI, or large language model (LLM) applications.
Ability to communicate technical concepts clearly, collaborate effectively across teams, and translate complex requirements into actionable solutions.
Working knowledge of cloud-based application development, deployment, scalability, and operational support.
Experience designing, consuming, or integrating APIs and distributed services.
Understanding of relational, NoSQL, or vector database concepts and data modeling principles.
Experience applying software development lifecycle (SDLC) practices, including testing, code quality, and continuous improvement.
Demonstrated commitment to security, privacy, risk awareness, and responsible AI practices.
Experience building or supporting enterprise AI platforms, tools, or developer enablement solutions.
Experience with model evaluation, AI governance, guardrails, and risk management frameworks.
Experience working with GCP, AWS, Azure, or other cloud platforms in production environments.
Exposure to agent orchestration frameworks, model context protocols (MCP), vector databases, embeddings, or knowledge retrieval systems.
Experience developing full-stack or backend applications within cloud-native environments.
Familiarity with agile development practices and cross-functional engineering teams.
Demonstrated learning agility with the ability to quickly adopt emerging technologies and new technical domains.
Strong collaboration skills and experience working with architects, product teams, and engineering stakeholders to deliver shared outcomes.

Skills

Object-oriented design principles
Software design patterns
Scalable application architecture
Analytical thinking
Agentic systems and orchestration
Retrieval-augmented generation (RAG)
Prompt and context engineering
Generative AI
Large language model (LLM) applications
Cloud-based application development
API design and integration
Distributed services
Relational database concepts
NoSQL database concepts
Vector database concepts
Data modeling principles
Software development lifecycle (SDLC) practices
Testing
Code quality
Continuous improvement
Security
Privacy
Risk awareness
Responsible AI practices
Enterprise AI platforms
AI tools
Developer enablement solutions
Model evaluation
AI governance
Guardrails
Risk management frameworks
GCP
AWS
Azure
Agent orchestration frameworks
Model context protocols (MCP)
Embeddings
Knowledge retrieval systems
Full-stack development
Backend development
Cloud-native environments
Agile development practices
Cross-functional collaboration

Location

On-site

Work Type

Full-time

Experience Level

4+ years of experience

Education Level

Bachelor’s degree in Computer Science or equivalent professional experience

Salary/Compensations

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

About the Company

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.