Vice President Software Engineering (AI)

TL;DR

Vice President Software Engineering (AI): Building and deploying end-to-end AI pipelines and machine learning models for market risk metrics with an accent on distributed computing and cloud-based scalability. Focus on translating complex regulatory requirements into AI-driven solutions and mentoring engineering teams within a high-stakes financial environment.

Location: Must be based in Dallas, TX, United States

Company

hirify.global is a leading global investment banking, securities, and investment management firm committed to helping clients and communities grow.

What you will do

• Design, develop, and deploy machine learning and AI models to support market risk metrics and forecasting.
• Build end-to-end AI pipelines including data ingestion, feature engineering, training, and monitoring.
• Partner with risk managers and quantitative teams to translate business requirements into AI-driven solutions.
• Optimize agent performance, scalability, and reliability in distributed cloud environments.
• Mentor junior engineers and contribute to architecture decisions and code reviews.
• Develop reporting tools and front-end interfaces for risk management actions.

Requirements

• 9+ years of professional engineering experience in a production environment.
• Strong proficiency in Python and experience with ML/AI libraries such as PyTorch.
• Experience working with large, structured datasets using SQL and distributed data platforms.
• Exposure to distributed computing frameworks and workflow orchestration tools like Airflow.
• Ability to work onsite in Dallas, TX.

Nice to have

• Hands-on experience integrating LLM models using agents.
• Experience developing monitoring and observability tools for AI agents.
• Experience developing agents using Google ADK or Lang Graph frameworks.
• Experience deploying solutions on AWS.

Culture & Benefits

• Opportunity to work at the intersection of AI, engineering, and market risk at a global scale.
• High-impact role influencing firm-wide risk management strategies.
• Collaborative environment with exposure to senior leadership, quants, and risk managers.
• Ongoing learning, development, and career progression opportunities.