Senior Software Engineer - Enterprise Architecture & AI Solutions Engineering

Charles Schwab; Southlake (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

401(k) with company match

Sabbatical after 5 years of service

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior Software Engineer to join Enterprise Architecture Solutions Engineering. You will help build AI-enabled platforms, governance guardrails, and scalable systems across the enterprise.

The role emphasizes collaboration with architects, engineers, and stakeholders to deliver secure, production‑ready solutions on site in Southlake, TX. The ideal candidate has extensive software engineering experience, expertise in AI systems, cloud platforms, and design patterns,

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent.
• 8+ years of software engineering experience delivering scalable software solutions.
• 3+ years senior‑level design and ownership of full‑stack systems.
• Strong command of enterprise design patterns, domain‑driven design, distributed systems and production‑ready architecture.
• Ability to decompose complex problems, direct AI‑assisted development, and evaluate model outputs.
• Proven experience delivering AI systems in production environments.
• Depth in agentic systems, retrieval/embedding pipelines or similar AI tech.
• Cloud platforms with focus on scalability, security, and operations for AI workloads.
• Databases across relational, NoSQL, vector, or graph types with data modeling and optimization.
• Experience reviewing code and setting engineering standards through shipped implementations.
• Strong communication and collaboration across business, technology, and engineering teams.
• Commitment to responsible AI practices including governance and safety.

Responsibilities

• Design and ship scalable AI-enabled platforms and governance guardrails.
• Collaborate with architects, engineers, and stakeholders across domains.
• Lead cross‑functional efforts to evolve internal platforms and tooling for enterprise AI.
• Ensure security, observability, and production readiness of systems.

Skills

8+ years experience

Senior engineering depth

Enterprise design patterns

Domain-driven design

Distributed systems

Production-ready architecture

AI systems in production

Cloud platforms

Databases

Code review / pairing

Communication

Responsible AI

Education

BSc/MSc in Computer Science or equivalent

Advanced degrees in AI (preferred)

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(s).

Schwab is seeking a Senior Software Engineer to join Enterprise Architecture Solutions Engineering within Enterprise Architecture and the Office of the Chief Technology Officer (CTO). In this hands‑on senior engineering role, you’ll help build and evolve the internal platforms, reusable frameworks, AI tooling, golden paths, agentic infrastructure, and governance guardrails that enable Schwab engineering teams to scale AI responsibly and effectively. You’ll contribute directly to platforms including technical debt management, enterprise governance, agent registries, agent pipelines, architecture assessment, and internal AI enablement solutions, using strong engineering judgment to design systems that are scalable, secure, observable, and production-ready.

This role is ideal for an architect or senior engineer who enjoys working cross-functionally across technologies, applying AI and large language models as force multipliers, and moving between platforms, frameworks, and product priorities as enterprise needs evolve. Your impact will come through the systems you design and ship, the standards you model, and the way you partner with architects, engineers, and stakeholders to solve complex problems with clarity, precision, and accountability.

Applicants must be currently authorized to work in the United States on a full‑time basis without employer sponsorship.

What you have

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent professional experience.
• 8+ years of software engineering experience, with demonstrated expertise designing and delivering complex, scalable software solutions and driving technical outcomes across the development lifecycle.
• 3+ years demonstrating senior‑level engineering depth through hands‑on design and ownership of full‑stack systems shipped end to end.
• Strong command of enterprise design patterns, domain‑driven design, distributed systems, service interfaces, and production‑ready architecture.
• Ability to decompose complex problems, define precise technical specifications, direct AI‑assisted development effectively, and critically evaluate model‑generated output.
• Proven experience designing and delivering AI systems in production environments.
• Depth in at least two of the following: agentic systems, tool orchestration, MCP or related protocols, retrieval‑augmented generation, embeddings, vector search, knowledge retrieval pipelines, prompt/context engineering, formal AI evaluation, testing, and guardrails.
• Strong working knowledge of cloud platforms with the ability to reason about scalability, resilience, cost, security, and production operations for AI workloads.
• Hands‑on database expertise across relational, NoSQL, vector, or graph databases, including data modeling, query tuning, indexing, query plans, and storage trade‑off decisions.
• Experience reviewing code, pairing with engineers, improving development practices, and setting engineering standards through shipped reference implementations.
• Strong communication, problem‑solving, and collaboration skills with the ability to partner across business, technology, architecture, and engineering audiences.
• Commitment to responsible AI practices, including security, privacy, evaluation, governance, and safety built into delivery.

Preferred Qualifications

• Advanced degrees in Computer Science or Artificial Intelligence.
• Experience working in private‑sector, startup, or highly ambiguous environments where you owned problems across multiple technical layers.
• Experience mentoring and growing engineers at multiple levels through code review, pairing, technical coaching, and example‑setting.
• Deep understanding of the software development lifecycle with examples of improving delivery practices, engineering standards, or team effectiveness.
• Experience building reusable engineering frameworks, internal developer platforms, AI enablement tools, or enterprise‑scale technical platforms.
• Familiarity with coding agents, large language model APIs, orchestration frameworks, retrieval pipelines, model evaluation approaches, and AI governance patterns.
• Ability to adapt quickly as priorities, platforms, frameworks, and product needs shift.
• Curiosity and continuous learning mindset, with the ability to stay current as AI engineering practices evolve quickly.

In addition to the salary range, this role is 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