Senior AI Security Engineer

The role

You will design, build, and secure AI-enabled applications and platform capabilities. This role involves partnering with engineering teams to implement security controls for AI agents, RAG, and cloud infrastructure.

What you will do

• Serve as the senior security engineering partner for AI product initiatives
• Design, build, and secure AI-enabled applications and reusable platform capabilities
• Contribute production-quality Python, security automation, and policy-as-code
• Define and implement security patterns for identity, authorization, and data protection
• Conduct collaborative architecture reviews and threat modeling for AI applications
• Build security requirements and automated controls into GitLab CI/CD
• Partner with AI Engineering on model and application evaluation and monitoring
• Review and support secure implementation of MCP servers, APIs, and AI tools
• Design and build private-by-default cloud foundations for AI knowledge services
• Secure knowledge graph and retrieval platforms

Required qualifications

• Minimum 5+ years of experience in software engineering, security engineering, platform engineering, DevSecOps, application security, or a related technical discipline
• Hands-on responsibility for production systems supporting real customers
• Experience designing, building, deploying, or securing AI-enabled applications in production
• Hands-on depth in at least one of agents or agentic workflows, MCP, RAG, or AI application security
• Strong software engineering fundamentals including Python, API design and security, testing, code review, automation, deployment practices, incident response, and configuration management
• Experience securing cloud-native and distributed systems
• Hands-on experience with AWS (or an equivalent cloud) security architecture
• Infrastructure as Code experience with Terraform
• Experience with graph and vector data stores
• Practical knowledge of building and securing MCP servers and MCP gateways
• Experience designing secure RAG ingestion pipelines
• Working knowledge of AI security risks and controls

Nice to have

• Experience building AI agents, RAG applications, MCP servers, model gateways, evaluation harnesses, or other AI platform capabilities
• Experience with Databricks and Mosaic AI Gateway
• Experience with Snowflake, vector databases, or large-scale healthcare data platforms
• Experience with Claude, Azure OpenAI, OpenAI, Gemini, or equivalent enterprise AI services
• Familiarity with FHIR and healthcare data
• Experience administering or securing Replit Enterprise or similar AI-assisted and citizen development platforms
• Experience supporting customer-facing solution architecture, forward-deployed engineering, or technical consulting engagements
• Prior experience as a technical lead, security architect, application security engineer, or senior engineering resource
• Experience operating Neo4j Enterprise (clustering, RBAC, online backup) or Amazon Neptune and openCypher workloads
• Experience with Amazon Bedrock and Titan embeddings, or comparable managed embedding services

Benefits

• Competitive leave and benefits
• Comprehensive health coverage
• Equity for every employee

Before you apply

• All interviews are conducted by live video with your camera on
• Candidates may be asked to complete identity and location verification

About the company

Abacus Insights is transforming how data and AI work for health plans. They provide an AI and Data Platform for Payer Intelligence to help health plans improve outcomes and reduce waste.