Senior AI Security Engineer
Core
Design, build, and secure AI-enabled applications and platforms for healthcare data and GenAI use cases, ensuring identity, data protection, and compliance are built-in from the start.
Role type
Senior IC AI Security Engineer
Builds
Abacus Agents, MCP-based solutions, SQL and RAG agents, secure knowledge graphs, and private cloud foundations for enterprise AI services
Domain
Healthcare data, Generative AI, Cloud Infrastructure, Security Engineering
Deliverable
production ML models
Required skills
Python, Security Automation, Policy-as-Code, Threat Modeling, Identity & Access Management, Secrets Management, Cloud Infrastructure (Terraform), CI/CD Security, Graph Databases (Neo4j), Vector Stores
Preferred skills
MCP (Model Context Protocol) expertise, HIPAA/HITRUST compliance knowledge, Citizen Developer platform administration
Technologies
Python, GitLab CI/CD, Terraform, Neo4j, MCP servers, OAuth, VPC, Transit Gateways
Responsibilities
Conduct threat modeling for AI applications including prompt injection and retrieval poisoning risks; Build reusable security controls and reference implementations for AI agents and MCP tools; Secure cloud infrastructure with private connectivity and least-privilege access; Partner with engineering teams to integrate security into the development lifecycle; Coach citizen developers on secure application patterns and data classification; Represent the company in customer-facing security architecture discussions.
Seniority
Senior, hands-on IC
