Solutions Engineer – AI & Data Science Specialist

🕒 il y a 23 jours

⚔️ Virginia – Distant

⚔️ Virginia – Remote

💵 $123 500 - $185 300 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

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F5

Site WebLinkedInTous les Emplois

5001 - 10000 employés

🔒 Cybersecurity

☁️ SaaS

🏢 Entreprise

💰 Post-IPO Equity en 2020-11

Cybersecurity • SaaS • Enterprise

F5 est une entreprise technologique spécialisée dans les services et la sécurité des applications, permettant aux organisations d'optimiser, sécuriser et contrôler leurs applications numériques. Elle propose une gamme de solutions qui améliorent les performances, la disponibilité et la sécurité des applications dans tout environnement cloud.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• Incentive compensation • Bonus • Restricted stock units