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2 jobs found

2d ago

Staff AI Engineer

Securitas Security Services Elmsford, NY

Elmsford, NY

2d ago

$155k - $180k/yr Full time Agentic Ai AI Ai Agent

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Job Description

Securitas Security Services is hiring a Staff AI Engineer to lead hands-on development of an enterprise intelligence platform. This role focuses on agent and API development for mobile and web applications, with an emphasis on AI ecosystem architecture, third-party vendor integrations, and secure, high-performing delivery in Azure.

Role Overview

In this hybrid role based in Elmsford, NY, you will help design and deploy an agentic AI platform that supports secure orchestration, reusable agent templates, and connectors. You will mentor internal engineers and contractor teams while ensuring zero-trust security, scalability, and performance in a cloud-native Azure environment.

Key Responsibilities

Lead hands-on development for the Agentic AI platform, emphasizing zero-trust security, scalability, and performance in a cloud-native Azure environment.
Build and deploy new agents connected to third-party enterprise vendors (such as workforce management and HR platforms) to enable advanced capabilities.
Design secure, reusable agent templates, orchestration workflows, and Model Context Protocol (MCP) and Agent 2 Agent (A2A) connectors.
Establish Bring Your Own Agent (BYOA) standards, including automated testing and CI/CD release workflows in partnership with QA and DevOps.
Guide engineering teams through technical code review to maintain technical excellence and enforce AI security best practices.
Use GenAI and developer automation tools to optimize workflows and speed up execution.

Required Qualifications

At least 8 years of software engineering experience, with deep proficiency in Python and modern API development.
Proven success designing, deploying, and observing LLM-powered applications, including orchestrated multi-agent workflow using LangGraph, and scalable RAG systems.
Hands-on experience building in cloud-native Azure architectures, including Azure AI Foundry, Container Apps, Cosmos DB, and Key Vault.
Experience building robust API integrations, external system connectors, or MCP and A2A connectors.
Strong understanding of AI observability tools such as Langfuse for latency, token usage, control-flow decisions, and session analytics.
Track record of shipping high-impact features quickly while managing technical debt pragmatically.
Technical initiative to proactively propose new solutions and architectures.
Low-ego collaboration, with willingness to adapt initial designs based on team feedback.

Technologies

Python
LangGraph
Langfuse
Model Context Protocol (MCP)
Agent 2 Agent (A2A)
GenAI
Azure
Azure AI Foundry
Container Apps
Cosmos DB
Key Vault
CI/CD

Compensation

Pay Range: USD $155,000 - $180,000 per year.

Actual compensation is determined by factors including experience, qualifications, work location, applicable laws, and business needs.

Benefits

Competitive pay
Weekly pay
Comprehensive benefits for eligible employees
Paid training and professional development
Career advancement opportunities
Employee recognition programs
Supportive and inclusive work environment
Opportunity to work for the world's leading protective services company
Medical, dental, and vision insurance
Life and disability insurance
Paid time off
401(k) or retirement savings plan
Employee assistance program
Additional voluntary benefits, where applicable

Work Location and Travel

Hybrid (2 days a week) if within commutable distance, or fully remote.
Minimal travel required (up to 2 domestic trips per year).

Reasonable Accommodation

Securitas USA is committed to full inclusion of qualified individuals and will take steps to assure reasonable accommodations are provided for people with disabilities. To request reasonable accommodation for the job application or interview process, contact PrivacyRequests@securitasinc.com.

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7d ago

Sr AI Engineer, Security

Realtor.com Austin, TX

Austin, TX

7d ago

Full time Agentic Ai Security Ai Agent Security Ai Security

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Job Description

Realtor.com is building security for AI platforms that operate across cloud environments and real-world agent workflows. In this role, you will design, validate, and operationalize AI security controls spanning AWS and GCP, with a focus on guardrails, supply-chain integrity, threat modeling, and incident readiness for LLM and agentic systems.

This is a hands-on security engineering position based in Austin, TX, onsite, requiring deep experience securing AI workloads and the ability to translate risk into practical design requirements, release criteria, and scalable standards.

Key responsibilities

Design and enforce AI workload guardrails on AWS (Bedrock, Lambda, IAM, KMS, SCPs, GuardDuty, Security Hub) and on GCP (Vertex AI, IAM, VPC Service Controls, Org Policies, Security Command Center, Cloud KMS).
Define how agents and other non-human accounts are identified and authorized using short-lived, narrowly scoped credentials, delegated user permissions, and a per-agent audit trail to limit potential blast radius from misbehavior.
Build agent containment using separate read and write permissions, network egress controls, sandboxed execution, approval gates for high-risk actions, and kill switches.
Create an agent gateway or control plane to keep agent behavior and tool calls within approved limits.
Secure the AI supply chain by controlling model intake and scanning, including unsafe formats such as pickle, vetting models and datasets from sources like Hugging Face, and operating an approval process for new MCP servers and agent tools.
Maintain an inventory of models, data, and tools used by each system via an AI-BOM, and apply defenses against prompt injection, tool poisoning, RAG poisoning, and sensitive data leakage.
Implement detection and logging for agent and model activity, and take ownership of AI-specific incident response playbooks.
Lead threat modeling for new products, features, and internal solutions, spanning consumer experiences through internal tools and agent workflows, using frameworks such as STRIDE, OWASP LLM/GenAI Top 10, MITRE ATLAS, and OWASP ASVS, then convert findings into design requirements and release criteria.
Review pull requests, architecture designs, and release-readiness across apps and agent fleets, providing concrete suggestions that help teams move forward.
Build “paved-road” frameworks, reference architectures, and secure-by-default templates that prevent entire categories of risk rather than relying on one PR at a time.
Embed security into CI/CD with secrets scanning, SAST/SCA, GitHub Actions hardening, and policy-as-code in Terraform.
Run an ongoing red-team and evaluation program for models, agents, and LLM apps, including testing AI features before launch.
Align with News Corp’s global cybersecurity organization on standards, policies, and risk frameworks, and coordinate on incident response, threat intelligence, and vulnerability disclosure across businesses.
Share AI security patterns, threat models, and lessons learned with other News Corp businesses and bring those insights back to Realtor.com.
Build agents that support security work, including triage, alert investigation, IAM least-privilege auditing, and submitting tested, secure-by-default fix PRs.
Use tools such as Claude Code, Devin, and MCP to accelerate security efforts and share approaches with other engineering teams.
Track emerging AI threats, incidents, research, and vendor capabilities, turning them into concrete platform actions, including updates to OWASP and MITRE ATLAS as relevant.
After major industry incidents, quickly assess potential exposure and lead the response.
Prototype new approaches when existing tooling does not fit, run small experiments, and promote what works into platform standards.
Write internal briefings on major developments and recommend when to adopt, pilot, or skip new tools or practices.
Create and deliver AI security training across engineers, product teams, and the wider company, covering prompt injection, data leakage, excessive agency, and secure use of tools such as Claude, Glean, Devin, and Gemini.
Act as the security voice in AI platform strategy by evaluating vendors and models, defining production readiness expectations, and contributing to AI governance across the AI lifecycle.
Brief leadership on AI risk and investment priorities, and represent Realtor.com externally through conference talks, open-source work, or industry working groups.

Requirements

5+ years in cybersecurity, cloud security, AppSec/product security, or security platform engineering.
Hands-on depth in AWS security and real experience in GCP (or strong multi-cloud background).
Experience securing LLM or agentic systems, including prompt injection defenses, retrieval and data-boundary risks, agent identity, and model or tool supply-chain integrity.
Threat modeling experience for products and platforms (not only infrastructure), with ability to lead sessions and translate outputs into requirements teams will follow.
Hands-on experience building with agents, tool calling, or MCP, and with AI coding tools.
Strong code-review skills in at least one of Python, TypeScript, or Go, and comfort with Terraform/IaC.
Experience with zero trust, least privilege, SSO/OIDC/OAuth, secrets management, and vulnerability management.
Experience operating within a larger security organization (parent company, central team, or federated model) while balancing local speed with enterprise alignment.
Ability to follow AI security research, incident write-ups, and community work, and apply recent learnings to action.
A builder’s mindset, including prototyping controls when playbooks do not yet exist.
Ability to explain risk clearly to audiences ranging from PR comments to executive briefings to companywide training.

Technologies

AWS, GCP, Bedrock, Lambda, IAM, KMS, SCPs, GuardDuty, Security Hub
Vertex AI, VPC Service Controls, Org Policies, Security Command Center, Cloud KMS
Hugging Face, MCP, Claude Code, Devin, Claude, Glean, Gemini
STRIDE, OWASP LLM/GenAI Top 10, MITRE ATLAS, OWASP ASVS, OWASP
Terraform, CI/CD, GitHub Actions, SAST/SCA
Python, TypeScript, Go, zero trust, least privilege, SSO/OIDC/OAuth, secrets management
AI-BOM, pickle, RAG, RAG poisoning

Benefits

Inclusive and Competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non-degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location

Nice to have

AWS Security Specialty, Google Professional Cloud Security Engineer, CCSP, CISSP, OSCP, or GIAC (GCSA/GWEB)
Experience red-teaming or evaluating AI models or agents
Familiarity with NIST AI RMF, ISO 42001, Google SAIF, CoSAI, NIST SSDF, or the EU AI Act
Experience securing Snowflake (RBAC, masking, network policy)
Conference talks, published research, or open-source security contributions

Work style

Realtor.com balances creativity and innovation with in-person collaboration.
For most roles, employees work four or more days in the office, enabling collaboration in person and strengthening culture.

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