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Security Ai Engineering Cybersecurity Jobs

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Today

IAM Architect /Cybersecurity Architect

Atlantis IT group Dallas, TX

Dallas, TX

Today

Full time Agentic Ai Security Ai Authorization Ai Security

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Job Description

Atlantis IT group is seeking an IAM Architect / Cybersecurity Architect to help shape authorization architecture and governance for AI applications and agents. This hybrid role in Dallas, TX will support integrated identity and access management for both human users and non-human identities, with technical leadership across cybersecurity and adjacent engineering teams.

Role focus

In this position, you will design a governance model for authorization in Identity and Access Management, serving as a subject matter expert for identity governance tied to AI systems. You will also provide technical leadership to cybersecurity teams by translating IAM and AI security concepts into implementation-ready architecture decisions.

Key responsibilities

Define the enterprise target-state architecture and governance model for identities, delegated authority, and authorization across AI applications, agents, tools, APIs, and human users.
Establish reusable authorization patterns for user-to-agent, agent-to-tool, machine-to-machine, and agent-to-agent interactions.
Design policy enforcement approaches supporting least privilege, Zero Standing Privilege (ZSP), separation of duties, context-aware access, runtime decisioning, and human-in-the-loop guardrails.
Define lifecycle governance for AI agents and other non-human identities, including registration, sponsorship, ownership, credential issuance, rotation, recertification, suspension, deprovisioning, and evidence retention.
Develop standards for OAuth 2.0, OIDC, token exchange, workload identity, delegated authorization, service accounts, and short-lived credentials.
Evaluate vendor and native platform capabilities and document options, tradeoffs, integration impacts, risks, and recommendations for Southwest.
Partner with teams including IAM, IGA, PAM, Enterprise Access Management, Cloud Security, Application Security, AI Engineering, AI Governance, Enterprise Architecture, and platform teams to align controls and operating responsibilities.
Create reference architectures, design principles, control requirements, decision records, implementation roadmaps, and adoption guidance.
Support solution reviews and threat-informed design decisions for AI use cases, MCP servers, agent tools, data access paths, and autonomous actions.
Define logging, traceability, audit evidence, and monitoring requirements connecting an agent action to the agent identity, sponsoring owner, delegated user or system, authorization decision, and affected resource.
Provide technical consultation to Cyber teams and translate complex IAM and AI security concepts for engineering, product teams, leaders, and governance forums.
Track relevant market and technology developments and recommend updates to architecture standards and strategic roadmaps.
Must be able to meet any physical ability requirements listed on this description.
May perform other job duties as directed by Employee’s Leaders.

Minimum qualifications

Minimum 3 years of experience solving complex problems and driving multiple stakeholders toward implementable solutions (prefer 5 years).
Minimum 3 years working in a cross-functional environment within the technology domain (prefer 5 years).
Ability to influence diverse customer groups to align on strategic goals and decisions.
Prefer at least 1 year working in a Scaled Agile Framework (SAFe) environment.
Ability to assume high-level responsibility and provide direction in a cross-functional, team-oriented environment.
Proficiency in Agile methodologies and collaborating effectively with cross-functional teams.
Deep expertise in enterprise Identity and Access Management (IAM) architecture and integration patterns for AI systems and agent-based environments.
Understanding of best practices for authorization enforcement across AI agents, tools, APIs, and human identities.
Knowledge of core authorization principles including least privilege access, Zero Standing Privilege (ZSP), policy enforcement, auditability, and runtime governance.
Experience designing OAuth 2.0 / OIDC flows for machine-to-machine and agent-to-agent communication.
Understanding of AI agent lifecycle governance including registration, credential rotation, deprovisioning, and auditability of autonomous actions.
Experience with secrets management and credential vaulting (e.g., CyberArk, HashiCorp Vault, AWS Secrets Manager).
Familiarity with AI safety and governance frameworks (NIST AI RMF, OWASP Top 10 for LLMs) and regulatory or compliance considerations for autonomous systems.
Strong communication and cross-team collaboration skills, including ability to translate complex IAM concepts for engineering and leadership audiences.
Strong hands-on knowledge of Privileged Access Management (PAM).
Strong hands-on knowledge of directory services (AD, eDirectory, LDAP).
Strong hands-on knowledge of workforce or enterprise IAM.
Strong hands-on knowledge of CIAM platforms and patterns.
Experience with IAM tools such as CyberArk, BeyondTrust, Ping, Azure AD, SailPoint, or similar.
Experience in cloud-based IAM (AWS, Azure, hybrid environments).
Ensure IAM solutions align with Zero Trust, least privilege, and identity-first security principles.
Exceptional attention to detail with strong documentation skills.
Self-motivated and proactive, committed to driving tasks to completion.
Ability to connect how programs integrate with company objectives.
Experience solving complex business and technical problems and identifying solution options.
Experience supporting (or leading) executive-level communication, such as project status updates and presentations requesting approval.
Ability to digest detailed information and summarize for appropriate stakeholders (Managers, Directors, VPs, etc.).
Experience with or thorough understanding of gathering business requirements for an implementation project.
Understands how to translate business needs into releases that deliver business value.
Ability to translate business processes into strategy and drive innovation to build capabilities.
Understands how to read the market landscape and implement best practices to remain competitive.
Ability to lead discussions with stakeholders from multiple backgrounds who have conflicting priorities, mediate when teams are not aligned, and drive toward a recommendation.
Critical thinking to identify, analyze, and interpret trends in complex data sets and develop recommendations.
Strong oral communication and executive-level presentation delivery skills.
Skilled influencer, negotiator, consensus-builder, and change agent.
Ability to recognize inefficiencies in processes and proactively suggest improvements.
Ability to work flexibly in changing priorities across enterprise objectives.
Must be able to comply with company attendance standards as described in established guidelines.
Must maintain a well-groomed appearance per company appearance standards as described in established guidelines.

Relevant technologies

OAuth 2.0, OIDC, MCP servers
AWS AgentCore
SailPoint Identity Security Cloud, SailPoint Entro Security
Ping Identity Platform, Ping Agent IAM Core module
CyberArk, CyberArk Idira
Privileged Access Management (PAM)
AD, eDirectory, LDAP
Microsoft Foundry, Microsoft EntraID
HashiCorp Vault, AWS Secrets Manager
Zero Standing Privilege (ZSP), NIST AI RMF, OWASP Top 10 for LLMs
ScAled Agile Framework (SAFe)
AWS, Azure

Location and work model

Dallas, TX (hybrid)
Minimum experience: 3 years

Atlantis IT group is an Equal Opportunity Employer, and Southwest Airlines is referenced in the role details.

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Today

Cybersecurity AI Forward Deployed Engineer

Accenture Kirkland, WA

Kirkland, WA

Today

$59k - $235k/yr Full time Adversarial Ai Security Agentic Ai Security Ai Security

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Job Description

Accenture Security is hiring a Cybersecurity AI Forward Deployed Engineer to embed inside client enterprises in Kirkland, WA (onsite). In this role, you will help make AI systems secure, governed, and resilient in production by applying security architecture and threat modeling to real agentic deployments.

What you can expect

You will work across complex, multi-stakeholder environments, addressing security for LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure. The work is hands-on and delivered using agentic coding tools to build detection and governance capabilities that support live production systems.

Responsibilities

Support AI security architecture and threat modeling for production agentic deployments, owning security design from assessment through hardened deployment across complex client environments.
Deliver hands-on security engineering using agentic coding tools to build AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation.
Manage AI-specific threat surface at program scale, including OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
Architect and govern AI security controls across the enterprise stack, including identity and access for AI systems, data pipeline security, model serving security, and integration risk across AWS, Azure, or GCP.
Assist with implementing AI governance frameworks such as the EU AI Act and NIST AI RMF, applied to live production systems rather than theoretical compliance work.
Support AI reinvention security strategy for client leadership by creating risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements to grow the Secure AI practice.
Contribute to architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

Requirements

Minimum 3 years of engineering experience in production environments with cybersecurity discipline depth in at least one area: AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC.
Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in a production environment (theoretical familiarity does not qualify).
Minimum 3 years working with cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP): IAM, network security, secrets management, and AI service security configurations.
Bachelor's degree or equivalent (minimum 12 years) work experience. If an Associate’s Degree, minimum 6 years work experience.
Proven ability to communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale a CISO or CFO would act on.

Technologies

Claude Code, Cursor, GitHub Copilot
OWASP LLM Top 10
EU AI Act, NIST AI RMF
AWS, Azure, GCP
LLM systems, multi-agent pipelines, RAG architectures, MLOps infrastructure

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Travel

Travel may be required. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Salary range: USD 59,100 - 235,100 per year.

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Security Ai Engineering Cybersecurity Jobs

IAM Architect /Cybersecurity Architect

Cybersecurity AI Forward Deployed Engineer

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