Senior Security Architect – AI, OT

Xcel Energy

. Design security reference architectures and guardrails for AI/ML and generative AI solutions and for enterprise IAM capabilities, including authentication, authorization, privileged access, identity governance, and secure integration patterns.

Posted 4/30/2026full-timeDenver • Colorado, Minnesota, Texas • 🇺🇸 United StatesSenior💰 $112,200 - $183,200 per yearWebsite

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Design security reference architectures and guardrails for AI/ML and generative AI solutions and for enterprise IAM capabilities, including authentication, authorization, privileged access, identity governance, and secure integration patterns.
Define and maintain control baselines and guardrails for AI-enabled platforms and enterprise IAM (e.g., model inventory, risk tiering, approval gates; identity standards, access reviews, and privileged access requirements) and ensure compliance drift is detected and addressed.
Conduct threat modeling and risk assessments for AI use cases (e.g., prompt injection, data leakage, model inversion/extraction, supply-chain risks) and provide advisory services to programs and operations.
Partner with product and engineering teams to embed security requirements into the AI lifecycle (data sourcing, training/fine-tuning, evaluation, deployment, monitoring, and retirement).
Ensure AI solutions and IAM controls align with applicable regulatory expectations and internal policies (e.g., privacy, critical infrastructure requirements), including controls for sensitive data used in AI workflows.

Requirements

What you’ll need

Minimum of 8 years’ experience in IT including 5 years’ direct experience in IT engineering and cyber security.
Demonstrated verbal/written communication and presentation skills.
Demonstrated experience collaborating with internal stakeholders, 3rd parties, and management.
Ability to influence without direct authority.
Experience with technology implementation projects for enterprise-scale organizations.
Strong oral and written communication skills.
Must be able to understand and respond to clients' business needs.
Hands-on experience with AI models and solutions (including generative AI/LLMs), such as model selection/integration, training or fine-tuning, retrieval-augmented generation (RAG), inference services, and model monitoring/operations in a production environment.
Strong understanding of AI security threats and mitigations (e.g., prompt injection, insecure tool/function calling, data leakage, jailbreaks, model inversion/extraction, poisoning, and supply-chain risks).

Benefits

Comp & perks

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
Dependent Care Reimbursement Account
Health Care Reimbursement Account
Health Savings Account (HSA) (if enrolled in eligible health plan)
Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
Transportation Reimbursement Account
Short-term disability (STD)
Long-term disability (LTD)
Employee Assistance Program (EAP)
Fitness Center Reimbursement (if enrolled in eligible health plan)
Tuition reimbursement
Transit programs
Employee recognition program
Pension
401(k) plan
Paid time off (PTO)
Holidays
Volunteer Paid Time Off (VPTO)
Parental Leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI modelsgenerative AImachine learningidentity governancerisk assessmentsthreat modelingdata leakagemodel inversionmodel monitoringinference services

Soft Skills

communication skillspresentation skillscollaborationinfluence without authorityclient needs understanding