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Senior AI Infrastructure Security Engineer

Hybrid in Dunkirk, NY, US • Posted 10 hours ago • Updated 10 hours ago

Full Time

Hybrid

Depends on Experience

Fitment

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Job Details

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Summary

Serve as Subject Matter Expert for the design, maintenance, and implementation of security architectures for AI infrastructure, including model hosting environments, model registries, feature stores, vector databases, and agent orchestration platforms
Lead risk assessments and threat modeling for AI platforms and integrations, including supply chain risks around models, datasets, and third-party AI services
Engineer robust Identity and Access Management (IAM) for AI systems, including RBAC/ABAC policies for models, agents, tools, and data stores, along with comprehensive secrets and key lifecycle management
Partner with DevOps and Platform Engineering teams to embed AI security controls into CI/CD pipelines and infrastructure-as-code, including secure deployment patterns and policy-as-code for AI resources
Build and integrate logging and observability pipelines for AI systems covering prompts, tool calls, model outputs, agent actions, and data access paths into existing detection and incident response infrastructure
Define and implement guardrails and isolation strategies for agentic workflows, including sandboxing, least privilege tool access, network segmentation, and blast radius reduction
Lead and participate in AI-related incident response and forensics, including investigations into model misuse, compromised agents, or suspicious data flows
Ensure compliance with relevant security and AI governance frameworks including NIST CSF, NIST RMF, NIST AI RMF, ISO 27001, and SOC 2 Type 2 by delivering technical controls and audit-ready evidence
Create and maintain comprehensive security documentation including architecture decision records, threat models, runbooks, and SOPs in a compliant and audit-ready state
Provide technical mentoring and oversight to less experienced engineers responding to AI platform security issues
What You'll Need to Have
7+ years of experience in information security, computer science, or engineering, with 5+ years specifically in security engineering, cloud security, or platform security
3+ years of hands-on experience with container orchestration and modern infrastructure stacks (Kubernetes-based platforms, microservices, or serverless) and their security hardening
Strong proficiency in Identity and Access Management (IAM), secrets management, and securing service-to-service communication in distributed systems
Deep knowledge of data protection practices relevant to AI workloads, including DLP, encryption, masking, and access pattern monitoring
Proven ability to build security tooling and automation, and to work in close partnership with infrastructure and SRE teams
Expert-level understanding of NIST CSF, NIST RMF, NIST AI RMF, ISO 27001, and SOC 2 Type 2 controls and their application to technical security programs
Experience securing AI/ML or LLM-based systems from an infrastructure or security perspective (model endpoints, registries, or AI gateways)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91102852
Position Id: 9045399
Posted 10 hours ago

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Ramana Channamsetty

Recruiter @ DTEL Engineering & Consultants Inc

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