AI Infrastructure Architect

Healthfirst

. Establish sustainable design principles across infrastructure systems, cloud platforms, enterprise integration patterns, and emerging AI platform capabilities .

Posted 9/29/2026full-timeUnited StatesSeniorLead💰 $141,700 - $253,810 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AWS-first cloud architecture, platform engineering, and AI platform capabilities, with a strong focus on designing secure, compliant, and resilient infrastructure systems. Proven ability to influence stakeholders and lead architectural initiatives in regulated environments.

Highest-signal resume keywords

AWS-First Cloud ArchitecturePlatform EngineeringAI Platform ArchitectureTerraform ImplementationRegulated Environment Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise Infrastructure ArchitectureCloud ArchitectureInfrastructure As CodeAutomated Delivery PatternsAI Integration PatternsObservability PracticesKubernetesServerless PlatformsAPI GatewayMLOps Technologies

Soft Skills

Influencing StakeholdersStrategic OversightCollaboration

Tools & Technologies

AWSTerraformCloudFormationAnsibleWorkatoMuleSoftServiceNow IntegrationHubKongApigeeNGINX

Certifications & Qualifications

AWS Solutions Architect Professional

Industry Keywords

ComplianceData ProtectionOperational StandardsCost ManagementScalabilityTechnical DebtVendor Risk

Tech Stack

Tools & technologies

AnsibleAWSCloudDNSITSMKubernetesNGINXServiceNowTerraform

About the role

Key responsibilities & impact

Establish sustainable design principles across infrastructure systems, cloud platforms, enterprise integration patterns, and emerging AI platform capabilities
Work across Infrastructure & Operations, Enterprise Delivery Program teams, application teams, data teams, security, and other IT partners
Provide strategic oversight and planning for enterprise infrastructure and AI platform initiatives
Design and build Platform Engineering constructs enabling CI/CD and governance for AI Platform consumers
Define target-state architecture, reference architectures, reusable platform patterns, frameworks, and solution blueprints
Provide architecture guidance for AWS-first AI platform capabilities and evaluate other cloud, SaaS, and third-party technologies
Evaluate emerging technologies including AWS AgentCore, Workato, TrueFoundry, AI gateways, LLM platforms, agentic frameworks, RAG, embeddings, policy enforcement, observability, and workflow orchestration tools
Ensure infrastructure systems, AI platform capabilities, and processes align with IT strategy, security, compliance, and operational standards
Define platform design, support requirements, operational guardrails, implementation patterns, and handoff expectations with I&O engineering teams
Design infrastructure patterns integrating AI platforms with systems of record, APIs, event-driven architectures, data platforms, identity systems, secrets management, observability, and IT service management
Account for regulated-environment requirements including data protection, access control, auditability, PHI/PII handling, resiliency, vendor risk, and compliance-by-design
Identify architectural risks, technical debt, scalability concerns, compliance gaps, vendor lock-in, cost-management issues, and operational support limitations
Lead or participate in proofs of concept, sandbox validation, and early development-environment architecture validation
Produce component specifications, candidate architectures, roadmaps, policies, standards, and practices
Define observability, capacity, performance, and cost-management patterns
Present architecture recommendations to senior IT leaders and influence technology decisions without direct management authority

Requirements

What you’ll need

Technical degree or equivalent work experience with a high school diploma or a GED from an accredited institution
7+ years of enterprise infrastructure, cloud, or platform architecture experience
5+ years leading architecture for scalable, resilient, secure, and operationally supportable platforms
Strong AWS-first cloud architecture experience, including compute, networking, IAM, DNS, storage, serverless, observability, security controls, infrastructure as code, platform engineering, and automated delivery patterns
Experience evaluating emerging AI, automation, data, integration, or platform technologies
Experience designing secure, compliant, auditable, resilient, and cost-conscious platforms in a highly regulated environment
Hands-on ability to validate architecture decisions through sandbox experimentation, proofs of concept, cloud configuration, and scripting/automation
Experience influencing engineering, product, application, and senior IT stakeholders without direct management authority
Experience implementing cloud services using Terraform, CloudFormation, Ansible, or equivalent
AWS Solutions Architect Professional certification or equivalent AWS architecture experience preferred
Experience with AI platform architecture and AWS AI/ML services, including agentic automation, LLM integration, RAG, embeddings, AI gateways, model orchestration, AWS AgentCore, Amazon Bedrock, or related platform services preferred
Experience with workflow automation or enterprise integration platforms such as Workato, MuleSoft, Boomi, ServiceNow IntegrationHub, or similar preferred
Experience with AI platform, MLOps, or LLMOps technologies preferred
Experience designing secure integration patterns between AI platforms and enterprise systems of record, APIs, event buses, data platforms, and identity providers preferred
Experience with API gateway, service mesh, or traffic-management platforms such as Kong, Apigee, NGINX, Istio, or equivalent preferred
Experience with observability platforms and practices preferred
Experience with Kubernetes, containers, serverless platforms, GPU/accelerated compute, self-hosted model evaluation, managed model platforms, or hybrid AI runtime patterns preferred
Experience working with development teams to design cloud-native applications and platform capabilities preferred

Benefits

Comp & perks

Medical, dental and vision coverage
Incentive and recognition programs
Life insurance
401k contributions
Competitive compensation and benefits package