TL;DR

Principal Cloud AI Architect (AI): Leading architecture and strategy for enterprise-scale AI/ML platforms on AWS to implement secure, scalable, and compliant AI solutions. Focus on determining cloud, data, and model governance patterns for responsible AI and supporting product, data, and engineering teams with technical guidance.

Location: Hybrid in Pittsburgh, US, with required initial on-site onboarding. This role may include up to 10% domestic travel. Must be legally authorized to work in the US without sponsorship.

Salary: $207,348–$253,425

Company

%hirify_global% is a new healthcare company dedicated to solving challenges that improve lives and help healthcare professionals perform at their best.

What you will do

Lead the architecture and strategy for %hirify_global%’s enterprise-scale AI/ML platforms on AWS, including Amazon SageMaker, Amazon Bedrock, and Amazon HealthLake.
Implement secure, scalable, and compliant AI solutions supporting clinical insights, operational intelligence, and generative AI use cases.
Determine cloud, data, and model governance patterns ensuring responsible AI, auditability, observability, model monitoring, and regulatory alignment (HIPAA, HITRUST, PHI/PII protections).
Support product leaders, data scientists, and engineering teams by providing deep technical guidance on cloud architecture, ML Ops, integration patterns, and platform modernization.

Requirements

Bachelor’s Degree or higher AND 10+ years of job-related experience OR High School Diploma/GED AND 14+ years of job-related experience.
8+ years of experience architecting or engineering cloud-native AI/ML systems.
5+ years of hands-on experience with AWS services (e.g., SageMaker, Bedrock, EC2, EKS, S3, Redshift, Lambda).
5+ years of experience designing or supporting ML Ops pipelines, including model deployment, monitoring, and lifecycle governance.
3+ years of experience working in regulated or data-sensitive environments (e.g., healthcare, life sciences, government).
Must be legally authorized to work in the US without sponsorship for employment visa status (e.g., H1B status).
Ability to travel as needed for business purposes (up to 10% domestic travel).

Nice to have

Master’s degree in Computer Science, Data Science, Engineering, or related disciplines.
Five (5) years of experience designing AI/ML solutions for healthcare, clinical analytics, or medical data environments.

Culture & Benefits

Competitive pay and benefits benchmarked with comparable companies.
Access to programs supporting physical and financial well-being.
Opportunity to meet with managers and other new employees as part of %hirify_global% new employee orientation.

Hiring process

New employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment (applies to new hires with a start date of October 1st, 2025 or later).