Job Title: Enterprise Security Architect | CISSP | Azure & AI/ML

Location: Washington, DC 20433

Duration: Long Term Contract

Work Model: Hybrid – 4 Days Onsite from Day 1

Position Summary:

We are seeking a highly experienced Enterprise Security Architect with strong hands-on expertise in Azure Cloud Security, AI/ML technologies, and DevSecOps practices. This role will lead enterprise-level security strategy and architecture initiatives, with a focus on cloud-native applications, infrastructure as code, and AI/ML integrations.

Key Responsibilities:

• Design and implement enterprise security architecture across cloud (Azure preferred), AI/ML workloads, and application layers.
• Conduct security reviews and threat modeling for new and existing solutions.
• Integrate DevSecOps practices and Infrastructure-as-Code (IaC) frameworks into application and infrastructure pipelines.
• Work collaboratively with cross-functional teams including infrastructure, data science, DevOps, and compliance.
• Drive secure implementation of APIs, Gen AI, and machine learning solutions.

Top Required Skills:

• Strong foundation in cybersecurity architecture, with 5–8 years of hands-on experience in security reviews and compliance frameworks.
• Development background with a transition into security-focused architecture roles.
• Proficiency with IaC tools such as Terraform, CloudFormation, ARM Templates, and Ansible.
• Expertise in API Security and modern identity protocols.
• Experience with Azure Cloud Services (PaaS and IaaS).
• Familiarity with Office 365 Security and integration.
• Solid understanding of AI/ML technologies and Generative AI.

Certifications:

• Required: Professional-level certification in at least one major cloud provider (Azure preferred; AWS/GCP accepted).

Preferred:

• Microsoft Certified Cloud Solution Architect
• Certified Information Systems Security Professional (CISSP)
• Additional cloud security certifications are a plus.

Soft Skills & Abilities:

• Excellent communication and documentation skills.
• Ability to work independently with minimal supervision.
• Strong analytical and problem-solving mindset.
• Comfortable working under tight deadlines and in high-pressure environments.

Preferred Experience:

• Experience in Agile/Scrum and DevSecOps environments.
• Prior work in organizations with significant AI/ML initiatives.
• Knowledge of security within containerized environments (e.g., Kubernetes, Docker).

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”