Senior Engineer I – Product Security, AI Platform

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Florida, +1 more states – Remote

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💵 $89k - $160k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Logo of Artex Risk Solutions

Artex Risk Solutions

501 - 1000 employees

Founded 1997

💸 Finance

🛡️ Insurance

Finance • Insurance • Risk Management

Artex Risk Solutions is a leader in alternative risk management, providing innovative solutions for both large and small organizations. They specialize in creative risk management strategies that help clients optimize their cost of risk, leveraging expertise in capital solutions, specialty risk transfer, and carrier outsourcing services. With a global presence and a commitment to challenging traditional approaches, Artex aims to empower businesses to make informed risk management decisions and enhance their operational efficiency.

📋 Description

• Own and operate Arthrex’s Engineering AI platforms, ensuring security, governance, cost efficiency, and reliable operation • Define and enforce usage policies, acceptable-use standards, and access controls across Engineering AI tools • Implement and maintain security controls, monitor data-exposure risks, and support security audits and access reviews • Establish controls for agentic AI workflows, including agent identity, scoped permissions, and audit logging • Ensure AI integrations align with engineering architecture and security standards • Evaluate new AI tooling and maintain connector and integration design consistency • Manage user provisioning, repository management, platform configuration, and connector integrity • Track and optimize AI platform spend; build cost-visibility dashboards and spending controls • Monitor platform health, usage, adoption, model-call volumes, latency, and error rates • Maintain audit-ready governance, compliance, runbook, architecture, and integration documentation • Communicate AI use-case wins and gaps to leadership and translate adoption data into business-impact narratives • Serve as the primary escalation point for platform issues and manage vendor relationships • Support engineer onboarding and internal adoption by creating enablement materials • Design and improve security architecture for product components and functional systems • Develop threat scenarios and responses for vulnerabilities • Maintain design history files and follow Arthrex design-control procedures • Determine security-testing needs and initiate testing • Provide technical support to Regulatory, Marketing, Product Management, Software Engineering, Legal, Compliance, Privacy, and Information Security teams • Support surgeon and distributor customers by explaining security-focused product aspects during sales processes • Report project progress and status • Travel as required, including possible international travel

🎯 Requirements

• 5 years of related experience required, preferably in platform engineering, software/ML engineering, or software engineering toolchain administration • Bachelor’s degree required, preferably in Engineering (Mechanical, Biomedical, Electrical or Software Engineering), Computer Science, Information Security, or Cybersecurity • Hands-on experience administering AI platforms such as Anthropic Claude, OpenAI ChatGPT, Google Gemini, Cognition Devin, Perplexity, or similar • Experience building applications, analytics pipelines, or security tooling using agentic software development processes • Experience managing SSO, RBAC, and API security for SaaS or cloud platforms • Experience with connector and integration management using REST APIs, webhooks, Azure Logic Apps, GitHub Actions, or similar • Scripting skills in Python, Bash, or PowerShell • Knowledge of system and software development processes and lifecycles • Knowledge of application security best practices • Knowledge of FDA and ISO guidelines for medical-device development • Experience leading strategic discussions addressing business and technical risks • Proficiency in threat-scenario development and risk-mitigation techniques • Proficiency in privacy-by-design principles • Familiarity with AI governance frameworks and responsible AI practices, including NIST AI RMF and ISO 42001 (preferred) • Familiarity with agentic AI concepts, agent identity, scoped permissions, secure agent orchestration, prompt injection vectors, runtime security, and guardrail design (preferred) • Familiarity with LLM observability and prompt-governance tools such as LangSmith, Helicone, Weights & Biases, and OpenTelemetry (preferred) • Familiarity with AI tooling spend management, API usage-cost tracking, license optimization, and usage-based billing (preferred)

🏖️ Benefits

• Medical, Dental and Vision Insurance • Company-Provided Life Insurance • Voluntary Life Insurance • Flexible Spending Account (FSA) • Supplemental Insurance Plans (Accident, Cancer, Hospital, Critical Illness) • Matching 401(k) Retirement Plan • Annual Bonus • Wellness Incentive Program • Gym Reimbursement Program • Tuition Reimbursement Program • Trip of a Lifetime • Paid Parental Leave • Paid Time Off • Volunteer PTO • Employee Assistance Provider (EAP)

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