IMO Health
At IMO Health, we’re advancing the use of AI to improve clinical workflows — and we’re seeking a
security-first, hands-on architect
to ensure that our AI/ML systems are designed, deployed, and maintained securely from the ground up. This is a
senior-level individual contributor
role embedded directly in our engineering teams. You’ll lead technical security efforts across our AI/ML and cloud infrastructure, from threat modeling and vulnerability management to secure MLOps pipeline design and runtime protection. We’re looking for someone with deep experience in cloud security or DevSecOps who is excited about learning and applying AI-specific security practices. You’ll work across engineering, platform, and compliance teams to define and implement practical controls that safeguard our models, data, and infrastructure — while helping guide the organization toward responsible, secure use of AI in healthcare. WHAT YOU'LL DO:
Serve as the
technical security lead embedded in engineering teams , focused on cloud, AI/ML, and platform security Lead
threat modeling
exercises for AI/ML systems, APIs, and cloud-based infrastructure Define and implement
security controls
across the ML lifecycle — from data sourcing and model training to deployment and inference Own and prioritize
security user stories , epics, and remediation plans for engineering execution Analyze and manage
vulnerabilities
using modern scanning tools and provide clear risk guidance Collaborate with DevOps, ML, and product teams to
secure infrastructure-as-code, CI/CD pipelines , and containerized environments Stay current on emerging
AI-specific threats
(e.g., prompt injection, model inversion, data leakage) and apply that knowledge practically Communicate findings and recommendations clearly to both technical and non-technical stakeholders WHAT YOU'LL NEED:
7+ years in security engineering, application security, or DevSecOps Experience securing
cloud-native infrastructure
(AWS preferred) Strong track record of
hands-on security architecture , especially in fast-paced engineering environments Experience with
security assessments, threat modeling, and vulnerability management Ability to write and prioritize
technical stories and remediation plans Strong communicator — able to influence, educate, and partner across engineering and product teams AI/ML security experience
is a strong plus; otherwise, must demonstrate the
aptitude and interest to quickly ramp up Familiarity with healthcare security and compliance frameworks (HIPAA, HITRUST, NIST) is a plus NICE TO HAVE:
Experience with
MLOps , model-serving infrastructure, or AI pipelines Familiarity with
AI-specific risks
(e.g., adversarial inputs, prompt injection, RAG security) Exposure to
red teaming, purple teaming , or secure SDLC in ML systems Awareness of
emerging AI regulations
(NIST AI RMF, EU AI Act, etc.) $165,000 - $225,000 a year
Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page . #J-18808-Ljbffr
security-first, hands-on architect
to ensure that our AI/ML systems are designed, deployed, and maintained securely from the ground up. This is a
senior-level individual contributor
role embedded directly in our engineering teams. You’ll lead technical security efforts across our AI/ML and cloud infrastructure, from threat modeling and vulnerability management to secure MLOps pipeline design and runtime protection. We’re looking for someone with deep experience in cloud security or DevSecOps who is excited about learning and applying AI-specific security practices. You’ll work across engineering, platform, and compliance teams to define and implement practical controls that safeguard our models, data, and infrastructure — while helping guide the organization toward responsible, secure use of AI in healthcare. WHAT YOU'LL DO:
Serve as the
technical security lead embedded in engineering teams , focused on cloud, AI/ML, and platform security Lead
threat modeling
exercises for AI/ML systems, APIs, and cloud-based infrastructure Define and implement
security controls
across the ML lifecycle — from data sourcing and model training to deployment and inference Own and prioritize
security user stories , epics, and remediation plans for engineering execution Analyze and manage
vulnerabilities
using modern scanning tools and provide clear risk guidance Collaborate with DevOps, ML, and product teams to
secure infrastructure-as-code, CI/CD pipelines , and containerized environments Stay current on emerging
AI-specific threats
(e.g., prompt injection, model inversion, data leakage) and apply that knowledge practically Communicate findings and recommendations clearly to both technical and non-technical stakeholders WHAT YOU'LL NEED:
7+ years in security engineering, application security, or DevSecOps Experience securing
cloud-native infrastructure
(AWS preferred) Strong track record of
hands-on security architecture , especially in fast-paced engineering environments Experience with
security assessments, threat modeling, and vulnerability management Ability to write and prioritize
technical stories and remediation plans Strong communicator — able to influence, educate, and partner across engineering and product teams AI/ML security experience
is a strong plus; otherwise, must demonstrate the
aptitude and interest to quickly ramp up Familiarity with healthcare security and compliance frameworks (HIPAA, HITRUST, NIST) is a plus NICE TO HAVE:
Experience with
MLOps , model-serving infrastructure, or AI pipelines Familiarity with
AI-specific risks
(e.g., adversarial inputs, prompt injection, RAG security) Exposure to
red teaming, purple teaming , or secure SDLC in ML systems Awareness of
emerging AI regulations
(NIST AI RMF, EU AI Act, etc.) $165,000 - $225,000 a year
Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page . #J-18808-Ljbffr