AI Engineer

Your OpportunityAt 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 organizationDesign, evolve, and enhance AI solutions to effectively support a diverse cross-section of STS developers, ensuring usability, scalability, and alignment with enterprise development standardsEvaluate, 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 lifecycleBuild and curate reusable prompts, templates, and AI-augmented workflows that lower the barrier to entry and help developers get productive with AI tools quicklyAct as a visible champion for AI-assisted development, engaging with developer communities through demos, office hours, brown bags, and internal forumsPartner closely with engineering, architecture, and platform teams to ensure AI capabilities are well-integrated into existing development workflows and toolchainsCreate and maintain clear, high-quality technical documentation to support solution adoption, onboarding, and long-term sustainabilityContribute to training programs, enablement materials, and internal communications to drive awareness, understanding, and effective usage of AI solutionsContinuously evaluate feedback from developer communities and stakeholders to refine solutions and maximize business and technical valueEstablish ways to measure success and outcomes, and use data to refine standards, improve reliability, and accelerate lead time for changeContinuously evolve the roadmap based on business priorities, team feedback, and changes in cloud, automation, AI-assisted delivery, and developer experienceResponsible for operationalizing AI solutions developed by internal teams, integrating them into the developer environment, and supporting their enterprise-wide deployment and maintenanceWhat you haveTo ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.Required QualificationsBachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience5+ years in software engineering, platform engineering, or developer experience roles, with direct responsibility for modern software delivery practicesFamiliarity with NLP, computer vision, or generative AI models depending on use casesDemonstrated experience designing and socializing reference architectures, standards, and guardrails adopted across multiple teams or product linesStrong 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 authorityProficient in Python, and possibly Java for backend integrationKnowledge of REST APIs and microservices for deploying AI modelsStay 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 environmentExcellent written and verbal communication skills, with the ability to create compelling documentation, training materials, and stakeholder presentationsPreferred QualificationsExperience 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 scaleExperience building or scaling an internal developer platform (IDP), including self-service workflows, golden paths, and developer experience measurementExperience designing secure and compliant delivery solutions in a regulated environment, including integration with identity management, secrets management, policy-as-code, vulnerability scanning, and audit automationExperience with cloud platforms in hybrid environments (AWS, Azure, or GCP) and Kubernetes-based platformsExperience with GitHub Enterprise, GitHub Actions, Jenkins, Azure DevOps, Argo CD, Terraform, or similar at enterprise scaleExperience with software supply chain security practices (SBOM, SLSA, provenance, signing, dependency governance)Experience implementing DORA metrics or similar delivery performance measurement frameworksExperience leading large-scale migrations or toolchain consolidations with strong change managementFamiliarity with prompt engineering, RAG patterns in the context of enterprise developer toolingFamiliarity with value stream management concepts and end-to-end delivery measurementAdvanced degree or relevant certifications in cloud, security, or architectureKnowledge of prompt engineering and embedding based searchIn addition to the salary range, this role is also eligible for bonus or incentive opportunities.Job SummaryRequisition ID: 2026-127024Posted Date: 3 hours ago(10/23/2026 4:25 PM)Category: Engineering & Software DevelopmentSalary Range: USD $112,300.00 - $150,100.00 / YearApplication deadline: 10/29/2026Position Type: Full time