Dataspring

Dataspring

Senior AI Security Engineer

Remote (United States) · Senior · Full-time

Sponsorship not specifiedDetected 2 days ago
JavaScriptTypeScriptPythonSQLVector DatabasesAWSGCPAzureTerraformCI/CDOAuthMachine LearningData EngineeringNLPLLMsRAGAgentic AILangGraphAI OrchestrationCybersecuritySIEMDetection EngineeringComplianceFirewall

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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • The Senior AI Security Engineer is the organizational authority on securing AI-driven technology.
  • As end-to-end application delivery has shifted to large language model (LLM)-driven development, the traditional SDLC security model no longer applies.
  • The Senior AI Security Engineer is a full-time, remote, exempt position and reports to the Sr.

Responsibilities

  • The AI Security Engineer embeds security into the build process itself, partners across engineering and data teams, and translates AI-specific threat knowledge into practical, enforceable controls.
  • Specific Responsibilities This role spans the full security lifecycle for AI systems from architecture and identity design through build, runtime, and incident response.
  • Maintain a living threat model aligned to OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF, and translate findings into prioritized, actionable controls.
  • Secure architecture: Own and maintain the AI security reference architecture covering model hosting, orchestration, tool use, MCP server deployments, and observability.
  • AI-generated code and build security: Establish review, testing, and gating processes for AI-generated code across frontend, backend, IaC, and CI/CD.
  • Enforce SCA/SBOM generation, dependency allowlisting, and secrets management for all LLM-driven build outputs.
  • Demonstrated experience building or securing applications developed substantially through LLM-assisted code generation (Claude, Copilot, Cursor, or equivalent).
  • Cloud-native security experience on at least one major provider (AWS, Azure, GCP), including IAM policy design, network segmentation, and secrets management.

Requirements

  • Every request must be authenticated, authorized, and logged.

Nice to have

  • model configuration and risk, prompt pipelines, agentic workflows, data ingestion and ETL, cloud-native infrastructure, and the identity and access controls that underpin all of it.
  • Director, Security Architecture and Operations.
  • Threat modeling and risk assessment:
  • Secure architecture:
  • Establish security patterns for new capabilities before they reach production.
  • AI model and pipeline security:
  • Evaluate foundation models for data-leakage risk and supply-chain provenance.
  • Harden prompt pipelines against injection, jailbreaking, and context poisoning.

Skills

  • Data protection and ETL security: Classify and control data flowing into LLM context windows, vector databases, and training pipelines.

Benefits

  • At DataSpring, you will do meaningful work at the intersection of healthcare, data, and technology, helping solve complex problems that make the healthcare system work better.
  • Background in a regulated industry with data sensitivity requirements, healthcare a plus.
  • Who We Are DataSpring is the trusted data connector at the core of healthcare.
  • By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.

Company info

  • DataSpring is the trusted data connector at the core of healthcare.
  • For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans.
  • We are committed to investing in our people and supporting professional growth over time.

Equal opportunity

  • Employer DataSpring is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered.
  • Employment decisions at DataSpring are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, source of income, place of residence, or any other characteristic protected by law.
  • DataSpring does not tolerate unlawful discrimination or harassment of any kind.
  • Applicants have rights under the Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA).
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