Job description

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. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location. Schwab Technology Services (STS) is investing in the integration of AI capabilities across the Software Development Life Cycle, and the AI Engineer (individual contributor) offers a unique opportunity to be part of that transformation from the outset. As a member of this team, you will help shape how AI is adopted and scaled across our enterprise development community, influencing modern engineering practices at a meaningful scale. You'll work at the intersection of developer experience, platform engineering, and applied AI, driving measurable improvements in productivity, quality, and engineering standards across the organization. This is a highly visible, hands-on role that combines technical depth with enterprise-wide influence — ideal for engineers who are energized by enabling others, learning and passionate about the future of software delivery.   • Delivery of AI-enabled solutions that improve overall product quality, drive consistency in developer practices and significantly increase developer productivity across the organization • Design, evolve, and enhance AI solutions to effectively support a diverse cross-section of STS developers, ensuring usability, scalability, and alignment with enterprise development standards • Evaluate, pilot, and operationalize emerging AI developer tools (e.g., code assistants, AI-powered testing, automated code review) to determine enterprise fit, define rollout strategies, and manage adoption lifecycle • Build and curate reusable prompts, templates, and AI-augmented workflows that lower the barrier to entry and help developers get productive with AI tools quickly • Act as a visible champion for AI-assisted development, engaging with developer communities through demos, office hours, brown bags, and internal forums • Partner closely with engineering, architecture, and platform teams to ensure AI capabilities are well-integrated into existing development workflows and toolchains • Create and maintain clear, high-quality technical documentation to support solution adoption, onboarding, and long-term sustainability • Contribute to training programs, enablement materials, and internal communications to drive awareness, understanding, and effective usage of AI solutions • Continuously evaluate feedback from developer communities and stakeholders to refine solutions and maximize business and technical value • Establish ways to measure success and outcomes, and use data to refine standards, improve reliability, and accelerate lead time for change • Continuously evolve the roadmap based on business priorities, team feedback, and changes in cloud, automation, AI-assisted delivery, and developer experience • Responsible for operationalizing AI solutions developed by internal teams, integrating them into the developer environment, and supporting their enterprise-wide deployment and maintenance What you have To ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have. Required Qualifications   • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience • 5+ years in software engineering, platform engineering, or developer experience roles, with direct responsibility for modern software delivery practices • Familiarity with NLP, computer vision, or generative AI models depending on use cases • Demonstrated experience designing and socializing reference architectures, standards, and guardrails adopted across multiple teams or product lines • Strong integration skills across delivery ecosystem components (source control, CI/CD, artifact management, container platforms, observability) • Proven ability to influence engineering leaders and drive adoption across teams without direct authority • Proficient in Python, and possibly Java for backend integration • Knowledge of REST APIs and microservices for deploying AI models • Stay current with trends, tools, and developments in the AI industry, including emerging models, platforms, and frameworks (e.g., OpenAI, Anthropic, GitHub Copilot, etc.), and evaluate their potential impact and applicability within the company's developer environment • Excellent written and verbal communication skills, with the ability to create compelling documentation, training materials, and stakeholder presentations   Preferred Qualifications   • Experience with AI-assisted developer tools such as GitHub Copilot, Copilot Chat, Claude Code, Cursor, Amazon Q Developer, or similar - including configuring, customizing, and measuring their effectiveness at scale • Experience building or scaling an internal developer platform (IDP), including self-service workflows, golden paths, and developer experience measurement • Experience designing secure and compliant delivery solutions in a regulated environment, including integration with identity management, secrets management, policy-as-code, vulnerability scanning, and audit automation • Experience with cloud platforms in hybrid environments (AWS, Azure, or GCP) and Kubernetes-based platforms • Experience with GitHub Enterprise, GitHub Actions, Jenkins, Azure DevOps, Argo CD, Terraform, or similar at enterprise scale • Experience with software supply chain security practices (SBOM, SLSA, provenance, signing, dependency governance) • Experience implementing DORA metrics or similar delivery performance measurement frameworks • Experience leading large-scale migrations or toolchain consolidations with strong change management • Familiarity with prompt engineering, RAG patterns in the context of enterprise developer tooling • Familiarity with value stream management concepts and end-to-end delivery measurement • Advanced degree or relevant certifications in cloud, security, or architecture • Knowledge of prompt engineering and embedding based search 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

Requirements

Must-haves

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.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.
Delivery of AI-enabled solutions that improve overall product quality, drive consistency in developer practices and significantly increase developer productivity across the organization
Design, evolve, and enhance AI solutions to effectively support a diverse cross-section of STS developers, ensuring usability, scalability, and alignment with enterprise development standards
Evaluate, pilot, and operationalize emerging AI developer tools (e.g., code assistants, AI-powered testing, automated code review) to determine enterprise fit, define rollout strategies, and manage adoption lifecycle
Build and curate reusable prompts, templates, and AI-augmented workflows that lower the barrier to entry and help developers get productive with AI tools quickly
Act as a visible champion for AI-assisted development, engaging with developer communities through demos, office hours, brown bags, and internal forums
Partner closely with engineering, architecture, and platform teams to ensure AI capabilities are well-integrated into existing development workflows and toolchains
Create and maintain clear, high-quality technical documentation to support solution adoption, onboarding, and long-term sustainability
Contribute to training programs, enablement materials, and internal communications to drive awareness, understanding, and effective usage of AI solutions
Continuously evaluate feedback from developer communities and stakeholders to refine solutions and maximize business and technical value

Nice-to-haves

Experience with AI-assisted developer tools such as GitHub Copilot, Copilot Chat, Claude Code, Cursor, Amazon Q Developer, or similar - including configuring, customizing, and measuring their effectiveness at scale
Experience building or scaling an internal developer platform (IDP), including self-service workflows, golden paths, and developer experience measurement
Experience designing secure and compliant delivery solutions in a regulated environment, including integration with identity management, secrets management, policy-as-code, vulnerability scanning, and audit automation
Experience with cloud platforms in hybrid environments (AWS, Azure, or GCP) and Kubernetes-based platforms
Experience with GitHub Enterprise, GitHub Actions, Jenkins, Azure DevOps, Argo CD, Terraform, or similar at enterprise scale
Experience with software supply chain security practices (SBOM, SLSA, provenance, signing, dependency governance)
Experience implementing DORA metrics or similar delivery performance measurement frameworks
Experience leading large-scale migrations or toolchain consolidations with strong change management
Familiarity with prompt engineering, RAG patterns in the context of enterprise developer tooling
Familiarity with value stream management concepts and end-to-end delivery measurement
Advanced degree or relevant certifications in cloud, security, or architecture
Knowledge of prompt engineering and embedding based search

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Keywords to mirror

aici/cdpythonjavarestawsazuregcpkubernetes

Platform: career-feeds
Effort: medium

Benefits

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Dental

Vision

401(K)

Parental Leave