Solutions Engineer – AI & Data Science Specialist

🕒 May 15

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $123.5k - $185.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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F5

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Post-IPO Equity on 2020-11

Cybersecurity • SaaS • Enterprise

F5 is a technology company that specializes in application services and security, enabling organizations to optimize, secure, and control their digital applications. They offer a range of solutions that enhance application performance, availability, and security across any cloud environment.

📋 Description

• Analyze and interpret results from AI Runtime Security POCs, including red-team campaigns, prompt/response scans, and inference-layer inspections. • Diagnose false positives and false negatives, explaining root causes in clear, customer-friendly language. • Help define acceptable risk thresholds and success criteria for enterprise AI security deployments. • Partner with customers to refine prompts, policies, scanner descriptions, and evaluation strategies. • Act as the escalation point for complex AI behavior questions during evaluations and pilots. • Support customer workshops focused on AI testing methodology, evaluation frameworks, and AI risk interpretation. • Translate model behavior and statistical outcomes into business-relevant narratives (risk, compliance, trust, readiness). • Assist in shaping POC readouts, executive summaries, and customer-facing reports. • Serve as the bridge between Solutions Engineering, Product, and Data Science when interpreting scanner performance and model behavior. • Help define internal best practices for: FP/FN analysis, Evaluation datasets, Prompt and policy tuning, Scanner validation strategies. • Create internal guidance, playbooks, and examples to raise the overall AI literacy of the SE team. • Provide feedback to Product and Engineering based on real-world customer testing patterns.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, or a related technical field. • 5+ years of experience in a technical, customer-facing role (Solutions Engineer, ML Engineer, Data Scientist, Applied AI Engineer, or similar). • Strong understanding of Large Language Models (LLMs) • Prompt engineering and prompt evaluation • Model behavior, bias, and limitations • False positive / false negative tradeoffs in ML systems • Experience analyzing model outputs, classification results, or evaluation metrics. • Ability to explain complex AI/ML concepts clearly to non-data-scientists.

🏖️ Benefits

• Incentive compensation • Bonus • Restricted stock units