Solutions Engineer (AI & Data Science)

TL;DR

Solutions Engineer (AI & Data Science): Interpreting and analyzing AI security testing results for the AI Runtime Security portfolio with an accent on LLM behavior and risk assessment. Focus on diagnosing false positives/negatives, refining prompt policies, and bridging the gap between customers and internal data science teams.

Location: Remote (USA)

Salary: $123,500 - $185,300

Company

hirify.global is a leader in cybersecurity and application delivery, empowering organizations to create, secure, and run applications across the digital world.

What you will do

• Analyze and interpret results from AI Runtime Security POCs, including red-team campaigns and inference-layer inspections.
• Diagnose root causes of false positives and false negatives, translating statistical outcomes into business-relevant risk narratives.
• Partner with customers to refine prompts, security policies, and evaluation strategies.
• Act as the primary AI/ML subject-matter expert within the Solutions Engineering organization.
• Collaborate with Product and Data Science teams to define best practices for scanner validation and evaluation datasets.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, ML, AI, or a related technical field.
• 5+ years of experience in a technical, customer-facing role such as Solutions Engineer or ML Engineer.
• Deep understanding of LLMs, prompt engineering, and model behavior (bias, limitations).
• Ability to explain complex AI/ML concepts clearly to non-data-scientists.
• Must be based in the US (inferred from legal and payment terms).

Nice to have

• Familiarity with AI security concepts: prompt injection, jailbreaks, and data leakage.
• Hands-on experience with Python, notebooks, or lightweight analysis tooling.
• Experience working with real customer datasets or evaluation pipelines.

Culture & Benefits

• Join a high-impact AI Center of Excellence shaping how enterprises trust and secure AI systems.
• Direct influence on product strategy and customer success in a fast-evolving domain.
• Competitive compensation including annual base pay, incentive bonuses, and restricted stock units (RSUs).
• Collaborative environment focusing on complex, non-deterministic AI challenges.