Senior Application Security Engineer AI & Product Security

Responsibilities

• AI Threat Modeling: Threat-model agentic and LLM-powered features end-to-end: data ingress/egress agent identity tool-use boundaries and the unique risks that come with frontier AI work
• Paved Road Tooling: Build the secure SDLC paved road — secure SDLC guardrails prompt/agent identity patterns secrets management PHI/PII redaction patterns
• Security Gates: Embed SAST DAST SCA and infrastructure scanning into CI/CD so security gates are part of the pipeline not an afterthought
• AI Monitoring Strategy: Identify and pilot an AI monitoring tool to fill the gap our current tooling (Zscaler) doesn't cover
• Policy -> Practice: Translate existing security policy into safe tool-use patterns for the Artera Primitives team Systems Engineers and other AI Builder squads
• Cross Functional Partnership: Partner cross-functionally with DevOps Systems Engineering and the AI builder teams — meeting AI Builders and engineers in the middle and finding the secure path forward not the "no" path
• Security Ownership: Own AWS identity and access management patterns secrets management and security tooling decisions in our AWS environment. Collaborate with System Engineers / DevOps on implementation.
• Security Framework Application: Apply frameworks like MITRE ATT&CK MITRE ATLAS OWASP Top 10 and OWASP LLM Top 10 to architectural decisions.

Requirements

• AppSec Tenure: 6–10 years in Application Security with a hands-on engineering orientation
• LLM & Agent Security: Demonstrable experience with LLM and agent security — OWASP LLM Top 10 MITRE ATLAS prompt/output filtering agent identity and tool-use risk
• Threat Modeling Expertise: You’ve built end-to-end threat models for production platforms and translated them into corrective controls
• Pipeline Scanning Tools: SAST DAST and infrastructure scanning tools in production CI/CD environments
• Shift-Left Security Experience: Taking policy codifying it as infrastructure-as-code (Terraform) and gating CI/CD pipelines on security findings
• Cloud Depth: Significant AWS experience (GCP or Azure background acceptable; AWS is learnable but cloud depth is required)
• Regulated Environment Experience: Background in regulated environments — healthcare (HIPAA/HITRUST) federal (FedRAMP) or fintech (PCI)
• Collaborative Communicator: Strong cross-functional communicator;able to partner with engineers and AI builders find the secure path together.

Bonus

• Agentic AI Modeling: Direct experience threat modeling agentic AI systems (rare — but if you have it you're the cherry on top)
• Agentic Platform Exposure: AWS Agent Core MCP or similar agent-platform exposure
• Growth Stage AI Experience: Experience at a growth-stage company (~50–500 people) that has already adopted agentic AI
• Fintech to Agentic Path: Background in fintech transitioning into agentic systems (a common path into this kind of work today)
• AI Monitoring Tool Ownership: Past ownership of an AI monitoring tool rollout or evaluation

What We Do

Artera a SaaS leader in digital health transforms patient experience with AI-powered virtual agents (voice and text) for every step of the patient journey. Trusted by 1000+ provider organizations — including specialty groups FQHCs large IDNs and federal agencies — engaging 100 million patients annually. Artera’s virtual agents support front desk staff to improve patient access including self-scheduling intake forms billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice text and web. A decade of healthcare expertise powered by AI. For more information visit www.artera.io.

Why Work With Us

At Artera you’ll work alongside a team of talented hard-working people who are driven to improve healthcare. You will be challenged with complex projects and meaningful work – making your success at Artera all the more meaningful.

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