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Dallas, Texas, United States
Hybrid
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 GoBankingRate’s 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com.
Texas Capital Bank is seeking an experienced AI Integration Senior Analyst to join the Risk Analytics 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 AI development expertise, enabling them to serve as a technical leader and trusted advisor to Risk Analytics and the broader Risk Organization.
As a Senior AI Agent Developer 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 agent prototypes, integrating data sources, governing AI outputs, and ensuring reliability, accuracy, and auditability of deployed agents.
Design and develop AI use cases to support credit risk, portfolio monitoring, compliance reviews, and other mission-critical risk functions, ensuring alignment with enterprise standards and regulatory requirements.
Partner with Technology to transform AI use cases into enterprise-grade agent solutions, ensuring alignment with business objectives, architecture standards, and regulatory requirements.
Work closely with Data Engineering teams to ensure data pipelines effectively ingest, transform, and deliver trusted data in formats optimized for AI agents and automation solutions.
Collaborate with Risk leadership and domain experts to translate complex credit, compliance, and risk workflows into scalable, auditable automated solutions.
Mentor junior developers and 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.
3+ years of professional experience, with 2+ years specifically building AI-powered applications, intelligent agents, or LLM-based workflows.
2+ 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.
Solid understanding of core generative AI concepts, including prompt engineering, RAG, agent tool orchestration, and reasoning approaches.
Familiarity with integrating AI solutions across APIs, databases, enterprise data platforms, and legacy banking environments. Ability to understand, translate, and architect complex business, risk, and compliance workflows into scalable technical agent designs.
Strong analytical and problem-solving skills with the ability to balance innovation with regulatory compliance and risk management.
Excellent communication and leadership skills, able to influence technical and non-technical stakeholders, mentor junior developers and data analysts, and drive alignment across teams.
Demonstrated commitment to detail, data accuracy, and quality assurance, especially in regulated or high-stakes environments.
Demonstrated experience designing and implementing Model Context Protocol (MCP) servers to enable secure, structured communication between AI agents and external tools, APIs, and enterprise resources.
Ability to work effectively with engineering teams on application development, integration, data management, testing, and deployment activities.
Knowledge of AI testing and evaluation principles, including the assessment of agent behavior across diverse scenarios and user interactions.
Master’s degree in Computer Science, Data Science, AI Engineering, Mathematics, or a related field, or equivalent hands-on experience.
Experience as a developer, technical lead, or architect in financial services or risk-focused environments.
Deep familiarity with credit risk concepts such as risk ratings, portfolio segmentation, credit review processes, loan underwriting, or compliance/audit frameworks.
Hands-on experience with enterprise AI platforms in production environments.
Working knowledge of data engineering, SQL, data pipelines, data governance, and cloud platforms (Azure, Snowflake, AWS or similar).
Prior experience mentoring teams or leading cross-functional AI or data-driven initiatives.
AI agents that support complex credit review workflows, risk rating processes, and portfolio monitoring at scale.
Automation of routine risk reporting, exception identification, and compliance checks using intelligent agents.
Tools that enable Risk Analytics and the broader Risk and Compliance Organization to analyze large volumes of data faster, more accurately, and with full auditability.
Governance and compliance frameworks, ensuring AI agents meet regulatory and internal audit standards.
Collaborative projects at the intersection of risk management, data engineering, AI technology, and regulatory compliance.
Technical mentorship and knowledge transfer to drive AI adoption across the Risk Organization.
The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.
