Senior Software Engineer - Enterprise Architecture & AI Solutions Engineering

Charles Schwab; Southlake (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with company match

Paid time for vacation

Parental leave and family benefits

Health, dental, and vision insurance

Job summary

Charles Schwab in Southlake, TX is seeking a Senior Software Engineer to join Enterprise Architecture Solutions Engineering. You will help build AI tooling, governance guardrails, and scalable platforms that empower Schwab engineering teams to innovate responsibly.

This role requires deep full‑stack ownership, production AI experience, strong communication, and the ability to collaborate with architects, engineers, and product partners to deliver production‑ready systems.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent professional experience.
• Demonstrated senior-level engineering depth through hands-on ownership of full-stack systems shipped end to end.
• Proven experience designing and delivering AI systems in production environments.
• Depth in 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 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.
• 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.

Responsibilities

• Help build and evolve internal platforms, reusable frameworks, AI tooling, golden paths, agentic infrastructure, and governance guardrails for scalable AI workloads.
• Ship production-ready systems with strong engineering judgment across security, observability, and reliability.
• Partner with architects, engineers, and stakeholders to solve complex problems with clarity and accountability.
• Contribute to platforms including technical debt management, enterprise governance, agent registries, and AI enablement solutions.

Skills

Senior-level engineering depth

Full-stack ownership

Communication

Problem-solving

Collaboration

AI systems design

Model evaluation and guardrails

Cloud platforms

Data modeling and databases

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Cloud platforms

Relational/NoSQL/Vector/Graph databases

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 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 engineer who enjoys working 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 ship, the standards you model, and the way you partner with architects, engineers, and stakeholders to solve complex problems with clarity, precision, and accountability.

What you have

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent professional experience.
• Demonstrated senior‑level engineering depth through hands‑on ownership of full‑stack systems shipped end to end.
• 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 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.
• 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

• 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