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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, mid-level experience, and broad senior architect title increase applicant competition significantly.
Core AI architecture skills are transferable, but regulated healthcare preference raises domain sensitivity to medium.
Explicit 5+ years plus required AI architecture, MLOps, and enterprise/regulatory experience creates high filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end AI-enabled solution architecture covering applications, data, models, APIs, cloud services, security, and operations.
Design AI architectures for scalability, cost-effectiveness, reliability, and operational readiness including telemetry and cost control mechanisms.
Provide architectural leadership throughout project lifecycle and collaborate across teams to develop reusable patterns and governance standards.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field; Master’s preferred.
Minimum 5 years experience in software, solution, enterprise, cloud, platform, data, or AI architecture with large-scale system delivery.
Working knowledge of modern AI architecture including generative AI, MLOps, observability, and responsible AI controls.
Experience in automation using APIs, workflows, infrastructure or policy as code, platform engineering, or DevSecOps methods.
Ideal Candidate Profile
Experienced in designing complex, scalable AI solutions and managing architectural trade-offs involving cost, scalability, and compliance.
Comfortable leading architecture under ambiguity and driving decisions without direct authority, collaborating across business and technical teams.
Familiar with regulated industries (healthcare/life sciences) and enterprise architecture governance for complex technology environments.