- Junior
- Escritório em Richardson
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.
Job Summary:
We are seeking a motivated and technically skilled AI Engineer with 1–2 years of experience to join our team. The ideal candidate will have foundational knowledge in Machine Learning and emerging Agentic AI paradigms, and will contribute to the development and deployment of intelligent systems that support autonomous decision-making and adaptive workflows.
Key Responsibilities:
Design, develop, and deploy ML models for classification, prediction, and optimization tasks.
Collaborate on the implementation of Agentic AI systems that exhibit goal-oriented behavior, learning, and event-driven automation.
Integrate AI agents into enterprise workflows using orchestration frameworks and graph-based decision logic.
Conduct model evaluation, tuning, and performance monitoring using industry-standard metrics.
Ensure compliance with Responsible AI principles including fairness, transparency, and auditability.
Work with cross-functional teams to translate business requirements into AI-driven solutions.
Required Qualifications:
Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
1–2 years of hands-on experience in ML model development using Python, TensorFlow, PyTorch, or similar frameworks.
Familiarity with foundational ML concepts (supervised/unsupervised learning, neural networks, etc.).
Exposure to Agentic AI concepts such as multi-agent coordination, goal-based planning, and adaptive behavior.
Understanding of GenAI and LLMs is a plus.
Preferred Qualifications:
Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
Knowledge of AI governance, model explainability, and ethical AI practices.
Participation in AI/ML competitions, open-source contributions, or relevant certifications (e.g., TensorFlow Developer, AWS ML Specialty).
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.
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