Senior AI & Machine Learning Security Engineer - AspenView Technology Partners, Inc.

Build the Future with AspenView Technology Partners

At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.

Why Join AspenView?

At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people.

Here’s what you can expect:

• Competitive base
• Comprehensive benefits and wellness support
• Flexible work model: hybrid, remote, or in-office
• Real growth opportunities and leadership visibility
• Inclusive, respectful culture that blends U.S. innovation with Colombian heart
• A company that listens, invests in you, and celebrates wins together

The Senior AI & Machine Learning Security Engineer is at the forefront of the next frontier in cybersecurity. You will be responsible for ensuring that our Client’s AI/ML initiatives are resilient, ethical, and secure. This is a pioneering role that combines traditional security engineering with the unique challenges of the AI lifecycle.

You will design security guardrails for Large Language Models (LLMs), protect training data integrity, and mitigate specific AI risks like model poisoning and prompt injection. Your mission is to enable the responsible adoption of AI across the enterprise while enhancing our own Cyber Defense operations with AI-driven automation.

What you will do:

AI/ML Security Architecture & Engineering

• Design and implement secure architectures for AI/ML solutions, ensuring model integrity and data protection across enterprise platforms.
• Embed security into the full model lifecycle , including training data ingestion, model deployment, inference, and continuous monitoring.
• Identify and mitigate AI-specific vulnerabilities such as prompt injection, model poisoning, evasion attacks, and data leakage .

AI-Driven Cyber Defense

• Integrate AI-driven detection and automation capabilities into Cyber Defense Operations and SOC environments.
• Develop AI/ML models to improve threat detection accuracy and automate incident response workflows.
• Collaborate with Digital and AI teams to establish secure AI design patterns and responsible AI adoption standards.

Governance & Guardrails

• Define and implement AI security guardrails , technical standards, and control frameworks for enterprise-wide use cases.
• Align AI security controls with emerging regulatory requirements, ethical A