AI Engineer
Charles Schwab2 days ago
Base Salary
$112k - $150k/yr
Responsibilities
- Deliver AI-enabled solutions that improve product quality, developer consistency, and productivity across the organization.
- Design, enhance, and scale AI solutions for diverse developer groups while ensuring usability and alignment with enterprise standards.
- Evaluate, pilot, operationalize, and manage adoption of AI developer tools such as code assistants, AI-powered testing, and automated code review.
- Create reusable prompts, templates, AI-augmented workflows, documentation, training materials, and enablement programs.
- Integrate AI capabilities with engineering, architecture, platform, and existing development toolchain environments.
- Engage developer communities through demos, office hours, brown bags, internal forums, and stakeholder communications.
- Measure adoption, reliability, delivery outcomes, and business value, using feedback and data to refine solutions and standards.
- Maintain the roadmap and support enterprise-wide deployment, maintenance, and operationalization of AI solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in software engineering, platform engineering, or developer experience roles with responsibility for modern software delivery practices.
- Familiarity with NLP, computer vision, or generative AI models and experience designing reference architectures, standards, and guardrails adopted across teams.
- Strong integration skills across source control, CI/CD, artifact management, container platforms, and observability ecosystems.
- Ability to influence engineering leaders and drive adoption across teams without direct authority.
- Proficiency in Python and potentially Java for backend integration, with knowledge of REST APIs and microservices for deploying AI models.
- Awareness of AI industry tools and platforms, including OpenAI, Anthropic, and GitHub Copilot, and the ability to evaluate their enterprise applicability.
- Experience with AI-assisted developer tools such as GitHub Copilot, Copilot Chat, Claude Code, Cursor, and Amazon Q Developer is preferred.
- Preferred experience includes internal developer platforms, AWS, Azure, GCP, Kubernetes, GitHub Enterprise, GitHub Actions, Jenkins, Azure DevOps, Argo CD, Terraform, software supply-chain security, DORA metrics, large-scale migrations, prompt engineering, RAG, and embedding-based search.
- Advanced degree or relevant cloud, security, or architecture certifications are preferred.
- Excellent written and verbal communication skills, including documentation, training materials, and stakeholder presentations.
Benefits
- The role is intended to be performed on site in the specified location, with in-office collaboration.
- The position is eligible for bonus or incentive opportunities in addition to the salary range.
Tech Stack
Categories
About Charles Schwab
Charles Schwab provides brokerage, banking, and wealth management services for individual investors and independent investment advisors. Its business spans trading platforms, advisory and custody services (Schwab Advisor Services), ETFs and mutual funds, and a U.S. bank offering deposits and lending. Founded in 1971 and headquartered in Westlake, Texas, Schwab is publicly traded on the NYSE (SCHW) and expanded its retail and advisor footprint through the acquisition of TD Ameritrade.