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Atlas Technology Solutions Jobs (NOW HIRING)

Atlas Tech

Automation DevOps Engineer

North Charleston, SC · On-site

$50.25 - $69/hr

Atlas Technologies, Inc., a rapidly expanding company supporting the U.S. Military and other ... Research new technologies to support enterprise automation solutions for large DoD Systems

Atlas Tech

Systems Administrator

North Charleston, SC · On-site

Atlas Technologies, a rapidly expanding company supporting the US Military and other Government ... Engineer solutions for isolated, fully air-gapped environments with no internet connectivity.

Atlas Systems

AI Research Intern

East Brunswick, NJ · On-site

About Atlas Systems Atlas Systems is a leading provider of AI-driven IT operations, risk management, healthcare technology, and enterprise software solutions. For more than two decades, Atlas has ...

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How much do atlas technology solutions jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for atlas technology solutions in the United States is $43.96, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $48.32 per hour, depending on experience, location, and employer.
Infographic showing various Atlas Technology Solutions job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 15% Part Time, and 6% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $91,429 per year, or $44 per hour.

IT Solutions Architect - AI

Stellar IT Group

Chicago, IL • On-site

Full-time

Posted 19 days ago

Job description

Overview:
IT Solutions Architect - AI
Location: Chicago, IL
Employment Type: Contract 7+ Months
Work Model: Hybrid (Onsite Tuesday-Thursday, 8 AM - 5 PM CST)
Role Overview
Northern Trust is seeking a Senior AI Security Engineer to lead the design, assessment, and governance of security controls for enterprise AI and machine learning systems. This role blends cybersecurity architecture, IAM, and emerging AI/ML technologies, ensuring secure deployment of AI workloads-including large language models, agentic frameworks, and ML pipelines-within a regulated environment.
Key Responsibilities
  • Architect and implement security frameworks for AI/ML platforms (model hosting, inference endpoints, training pipelines, agentic AI).
  • Develop and enforce identity, authentication, and authorization (IAA/IAM) controls, ensuring least-privilege access and secure token flows (OAuth 2.0, OBO, managed identities).
  • Conduct threat modeling and risk assessments using OWASP AI Top 10, MITRE ATLAS, and NIST AI RMF.
  • Harden AI supply chain components (model registries, MCP servers, API gateways, third-party integrations).
  • Define IAM policies and RBAC for AI environments across Azure, AWS, and GCP.
  • Collaborate with data science, engineering, and compliance teams to embed security guardrails into the AI lifecycle.
  • Author security documentation (architecture records, risk assessments, implementation guides).
  • Monitor evolving AI threat vectors (prompt injection, tool poisoning, model manipulation, data exfiltration) and implement actionable controls.
  • Present findings and recommendations to leadership and governance boards.
  • Contribute to enterprise AI security standards and policies.
Required Qualifications
  • 7+ years in cybersecurity, with 3+ years in security architecture/engineering.
  • Strong knowledge of network, application, and data security; zero-trust principles.
  • Hands-on IAM experience (Azure AD/Entra ID, Okta, Ping, AWS IAM).
  • Expertise in authentication/authorization protocols (OAuth 2.0, OIDC, SAML, SCIM).
  • 1-3 years of experience securing AI/ML systems (LLM deployments, agentic frameworks, ML pipelines).
  • Familiarity with AI threat vectors (prompt injection, data poisoning, model inversion, plugin abuse).
  • Exposure to AI governance frameworks (NIST AI RMF, EU AI Act, OWASP AI Top 10, MITRE ATLAS).
  • Excellent communication skills; ability to translate technical risks into business language.
Preferred Qualifications
  • Experience in financial services or regulated industries (SOX, GDPR, MiFID II).
  • Hands-on with Microsoft Azure/M365 security ecosystems (Entra ID, Copilot Studio, Defender for Cloud, Purview).
  • Familiarity with API gateway security for AI services (Azure APIM, Kong, Cloudflare AI Gateway).
  • Knowledge of secure MLOps pipeline design, container security, and model scanning.
  • Certifications: CISSP, CCSP, CISM, Azure Security Engineer Associate, or AI-specific credentials.
  • Experience with Model Context Protocol (MCP) security controls.
  • Contributions to security communities, mentoring, or publishing research.

Skills:
Artificial Intelligence,security,IAM

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