Security Architect, AI & Cloud Platforms

This position is posted by Jobgether on behalf of Intelligent Medical Objects (IMO). We are currently looking for a Security Architect, AI & Cloud Platforms in United States.

This role offers the opportunity to lead the design and implementation of security practices for cutting-edge AI and cloud platforms. You will work closely with engineering, platform, and compliance teams to safeguard AI/ML systems, infrastructure, and data while ensuring secure deployment and operation. The position emphasizes hands-on security architecture, threat modeling, and vulnerability management, with a strong focus on cloud-native environments. You will influence technical strategy, guide best practices, and help build a security-first culture while addressing emerging AI-specific risks. This role provides significant scope to impact healthcare technology innovation through secure, scalable, and responsible AI applications.

Accountabilities:

·         Serve as the technical security lead embedded within engineering teams, focusing on AI/ML and cloud infrastructure security.

·         Lead threat modeling exercises for AI systems, APIs, and cloud-based platforms.

·         Define and implement security controls across the ML lifecycle, including data sourcing, model training, deployment, and inference.

·         Own and prioritize security user stories, epics, and remediation plans for engineering execution.

·         Analyze and manage vulnerabilities using modern scanning tools, providing clear risk guidance.

·         Collaborate with DevOps, ML, and product teams to secure CI/CD pipelines, containerized environments, and infrastructure-as-code.

·         Monitor and apply emerging AI-specific security practices to mitigate risks such as prompt injection, model inversion, and data leakage.

·         Communicate security findings and recommendations effectively to technical and non-technical stakeholders.

·         7+ years of experience in security engineering, application security, or DevSecOps.

·         Hands-on expertise in securing cloud-native infrastructure (AWS preferred).

·         Proven experience in security architecture, threat modeling, vulnerability management, and secure SDLC practices.

·         Strong ability to write and prioritize technical stories and remediation plans.

·         Excellent communication and collaboration skills to influence engineering and product teams.

·         AI/ML security experience is highly desirable; otherwise, aptitude and willingness to quickly learn AI-specific security practices.

·         Familiarity with healthcare security and compliance frameworks (HIPAA, HITRUST, NIST) is a plus.

·         Nice to have: experience with MLOps, AI pipelines, red/purple teaming, adversarial input mitigation, and awareness of emerging AI regulations (NIST AI RMF, EU AI Act).

·         Competitive base salary: $170,000 – $230,000, with potential bonuses and equity opportunities.

·         Comprehensive healthcare coverage, including medical, dental, and vision.

·         Retirement plans and financial wellness programs.

·         Flexible PTO and paid holidays.

·         Professional development opportunities and mentorship programs.

·         Collaborative and innovative work environment driving secure AI healthcare innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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