Senior Software Engineer - Enterprise Architecture & AI Solutions Engineering at Charles Schwab Inc.
Austin, TX
$150,000–$185,000
Jul 19, 2026
Austin, TX
Jul 21, 2026
What this job asks for AI summary
A hands-on senior engineering role focused on building and maintaining internal platforms that help a large financial firm's engineering teams adopt AI at scale. Day-to-day work spans agentic infrastructure, governance tooling, reusable frameworks, and AI enablement systems. The role suits an experienced full-stack engineer with production AI delivery credentials and comfort working across distributed systems, cloud platforms, and multiple database paradigms.
Senior level · National · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The degree requirement states 'Bachelor's or Master's degree… or equivalent professional experience,' which means a degree is not a hard gate; the degree requirement is set to None accordingly.
No compensation figures are provided beyond a mention that the role is 'eligible for bonus or incentive opportunities.'
The Required Qualifications gate on depth in 'at least two of' a list of AI sub-disciplines (agentic systems, tool orchestration, MCP, RAG, embeddings, vector search, knowledge retrieval pipelines, prompt/context engineering, formal AI evaluation, testing, guardrails). All named technologies from that list are captured as required, reflecting that the JD treats the cluster as a hard gate even though individual items within it are partially interchangeable.
Cloud platform is required but no specific provider (AWS, Azure, GCP) is named; captured generically as 'cloud platforms.'
Orchestration frameworks, LLM APIs, coding agents, and AI governance patterns appear only under Preferred Qualifications and are marked accordingly.
MCP (Model Context Protocol) appears in the Required section as an example protocol alongside 'related protocols'; captured as required with the understanding that a closely related protocol would satisfy the requirement.
The posting explicitly states in-office work is required, so remote is set to false.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI governance.
Read the full posting
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