AI Integration Sr. Analyst - Risk Analytics

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow.

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success.

We build long-lasting relationships.

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and Go Banking Rate 's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at

Overview of the Position

Texas Capital Bank is seeking an experienced AI Integration Senior Analyst to join the Risk and Compliance group. This role is focused on designing, building, and deploying sophisticated AI agents using the bank's enterprise agent-building platform, with a strong emphasis on risk management and compliance workflows. The ideal candidate brings substantial banking and risk/compliance experience combined with advanced AI development expertise, enabling them to serve as a technical leader and trusted advisor to Risk Analytics and the broader Risk Organization.

As an AI Integration Sr. Analyst embedded within Risk Analytics, you will be a technical leader and strategic advisor working closely with the broader Risk and Compliance, and Technology teams to identify transformational opportunities where AI agents can automate, augment, and accelerate workflows. You will lead the design and implementation of sophisticated agent solutions, mentor junior developers and analysts, influence technical strategy, and ensure all deliverables meet stringent regulatory and compliance standards.

You will be responsible for designing enterprise-grade agent logic, integrating data sources, testing AI outputs, and ensuring reliability, accuracy, and auditability of deployed agents.

Responsibilities

* Lead technical strategy and agent-based workflows, ensuring alignment with enterprise standards and regulatory requirements.

* Design and develop production-grade AI agents to support credit risk, portfolio monitoring, compliance reviews, and other mission-critical risk functions.

* Collaborate with Risk leadership and domain experts to translate complex credit, compliance, and risk workflows into scalable, auditable AI-powered solutions.

* Integrate agents with internal data systems, APIs, and enterprise tools to enable end-to-end automation while maintaining data governance and compliance standards.

* Build, test, and iterate on advanced agent logic including prompt engineering, tool use, memory management, and multi-step reasoning flows.

* Mentor junior analysts and contribute to internal best practices, documentation, and the AI community of practice.

* Own the entire AI agent's lifecycle, providing maintenance, troubleshooting issues, and driving continuous improvements with a focus on accuracy and regulatory compliance.

* Stay current with advancements in large language models (LLMs), agentic frameworks, and enterprise AI tooling.

* Ensure all agent outputs meet stringent data quality, auditability, and compliance standards required in a highly regulated banking environment.

* Support Risk Analytics with dashboards and other data driven solutions aimed at extracting actionable insights.

* Contribute to broader AI/ML strategy and help establish governance frameworks for responsible AI deployment.

Qualifications

* Bachelor's Degree in Computer Science, Data Science, Data Engineering, Software Engineering, Mathematics, or a related field, or equivalent hands-on experience.

* Master's Degree preferred

* 7+ years of professional experience

* 3+ years specifically building AI-powered applications, intelligent agents, or LLM-based workflows.

* 3+ years of experience in banking, financial services, or risk/compliance domain with hands-on exposure to financial risk concepts.

* Advanced proficiency in Python and demonstrated expertise building multi-step AI workflows with LLMs - including prompt engineering, tool integration, memory management, agent orchestration patterns, and multi-agent systems.

* Proven experience integrating AI systems…