Vice President, Architecture, AI

AccessHope

. Own enterprise technology architecture across all platforms .

Posted 9/22/2026full-timeRemote • United StatesLead💰 $148,990 - $198,898 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in enterprise technology architecture, including AI platform architecture and cloud-native applications. Proven ability to lead architecture initiatives, establish governance standards, and provide technical leadership across various platforms and technologies.

Highest-signal resume keywords

Enterprise Technology ArchitectureAI Platform ArchitectureCloud-Native ApplicationsEnterprise SaaS PlatformsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringEnterprise ArchitectureArchitecture GovernanceAI GovernanceEvent-Driven ArchitectureMicroservicesSecure SDLCTechnical Due DiligenceArchitecture ReviewsData Architecture

Soft Skills

Collaboration Across Time ZonesAdvising Executive Leadership

Tools & Technologies

AWSKubernetesContainersServerlessAPIsCI/CDSnowflakeRAGLLM InfrastructureHuman-in-the-Loop Workflows

Industry Keywords

Highly Regulated IndustriesEnterprise ModernizationHealthcare Industry

Tech Stack

Tools & technologies

AWSCloudKubernetesMicroservicesSDLC

About the role

Key responsibilities & impact

Own enterprise technology architecture across all platforms
Develop and maintain a multi-year technology roadmap
Define architectural principles, standards, and governance
Review major technology initiatives
Ensure scalability, maintainability, security, and resilience
Lead the architecture review board
Own enterprise AI architecture, including generative AI platforms, agentic AI frameworks, LLM infrastructure, RAG, knowledge platforms, model evaluation, AI governance, prompt engineering standards, AI observability, and human-in-the-loop workflows
Provide technical leadership across AWS, Kubernetes, containers, serverless, networking, APIs, event-driven architecture, microservices, IAM, IaC, CI/CD, and platform engineering
Partner with Data Engineering on enterprise data architecture, governance, data quality, semantic layer, MDM, metadata, lakehouse, Snowflake, and data APIs
Provide architectural oversight for Salesforce, member and provider portals, internal operations, integration platforms, APIs, and workflow automation
Establish engineering standards for secure SDLC, architecture reviews, documentation, coding, AI-assisted development, testing, technical debt, developer productivity, and platform reliability
Evaluate build-versus-buy-versus-partner decisions, vendors, emerging technologies, AI roadmap, platform investments, engineering productivity, technology risk, and innovation portfolio
Advise executive leadership on technology investments, AI strategy, technical due diligence, architecture decisions, board presentations, and enterprise modernization

Requirements

What you’ll need

12+ years in software engineering and enterprise architecture
5+ years leading architecture for enterprise SaaS platforms
Experience building cloud-native applications at scale
Demonstrated success leading enterprise modernization initiatives
Deep expertise in AI platform architecture and production AI systems
Experience in highly regulated industries
Must be eligible to work in the U.S. without employer sponsorship for an employment visa or any other type of US work authorization
Support or collaboration across multiple time zones
Preferred: 15+ years in software engineering and enterprise architecture
Preferred: 8+ years leading architecture for enterprise SaaS platforms
Preferred: Experience in highly regulated healthcare industry

Benefits

Comp & perks

Medical, Dental, and Vision Coverage
401(k) Plan with Employer Match
Leader Time Off (LTO)
Parental Leave
Short-Term Disability
Voluntary Benefits (e.g., life insurance, additional coverage options)
Remote work schedule
Annual incentive bonus
Travel up to 25% may be included