HI

*Please send the resume, VISA, and fill out the highlighted table . Whoever
does this will be considered first. Thank you!*





*Format in Sending Profiles*

Candidate Name:

Location:

Pay Rate:

Level of Expertise:

Sponsorship:

Email Address:

LinkedIn Profile:

Availability to Start:

Attachments: Resume & Valid Photo ID (naming convention:
Project ###_Resource Full name_Resume/ID



*Other Notes:*

Our client looks for motivation, capabilities, soft skills (team player,
transparent, honest) MUST BE PERSONABLE !!!!


Position: AI Security Engineer

Location: Remote

Duration: 6+ months CONTRACT TO HIRE

C2C Pay Rate: $60/Hr


*Role overview*
You will build and integrate the security guardrails that make AI usable at
scale: policy‑as‑code, proxy layers for model access, prompt/content
filtering, evaluation harnesses, secrets & key management, telemetry, and
automation in CI/CD. You’ll prototype quickly (PoCs), harden what works,
and partner with platform, data, and product teams to get controls into
production on Google Cloud with modern DevOps practices.

*What you’ll do*

   - *Build secure AI access layers* (Python) for internal use and
   service‑to‑service scenarios: request/response inspectors, output
   redaction, rate limiting, and audit logging. Integrate with sensitivity
   labels/DLP and identity controls where applicable.
   - *Develop agent safety patterns* (for orchestration frameworks)
   including tool‑use allow‑lists, function sandboxing, constrained retrieval,
   and memory hygiene; create reusable modules for product teams.
   - *Implement and operate evaluation pipelines* (red‑team prompts,
   jailbreak detection, toxicity/PII checks, hallucination/grounding scores)
   as part of CI/CD—gating releases on eval thresholds; capture artifacts for
   5Rs evidence.
   - *Engineer GCP security controls* for AI workloads: VPC‑SC, private
   service connect, service account hygiene, Workload Identity Federation,
   CMEK, Secret Manager, Cloud Build/Artifact Registry policies, Cloud
   Logging/Monitoring/SCC alerting.
   - *Harden data pipelines* feeding models (poisoning/tamper detection,
   provenance/lineage, RBAC/ABAC, DLP), working with data engineering teams.
   - *Automate controls* (policy‑as‑code) to enforce least privilege,
   environment isolation, egress controls, and artifact signing; integrate
   with existing SAST/DAST/SCA and threat‑modeling workflows.
   - *Contribute to Copilot security enablement*: configure Purview
   sensitivity, Copilot DLP, Restricted Access sites, and Conditional Access
   for AI apps; validate via test plans.
   - Ingest architecture diagrams, data‑flow specs and service metadata to
   produce *LLM‑assisted Security use-cases (leveraging AI for security).*
   - Engineer *autonomous/assisted SOC agents* to ingest alerts from
   Defender XDR/Sentinel and approved third‑party sources, perform enrichment

*What you’ll bring*

   - Strong software engineering in *Python* (frameworks, testing,
   packaging) with experience building secure services/middle‑tiers and *AI
   agent* integrations.
   - Hands‑on *Google Cloud* expertise (IAM, GKE/Cloud Run, Cloud Build,
   Artifact Registry, Secret Manager, VPC‑SC, SCC) and DevOps (IaC, CI/CD,
   policy‑as‑code).
   - Practical knowledge of *AI threats & mitigations* (prompt injection
   filters, content moderation, output redaction, token‑level guardrails,
   secrets hygiene, model endpoint hardening).
   - Familiarity with *enterprise collaboration controls* (Purview labels,
   DLP for Copilot, restricted access sites) and how to test their efficacy.

*Nice to have*


   - Experience wiring evaluations/red‑team harnesses into CI (e.g.,
   blocking merges on eval regressions); exposure to *EU AI Act/GDPR*
implications
   for logging/telemetry and DPIAs.
   - Knowledge of SAST/DAST/SCA and dependency governance aligned to our
   SDLC standards.


Thanks and Regards,

Balaji H
American Tek Resources Inc
WhatsApp: +1 (937) 453 1818
[email protected]
www.americantekresources.com

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