AI Architect

ELYON International

. Define enterprise AI architecture, technical strategy, standards, and solution patterns .

Posted 10/15/2026full-timeRemote • United StatesSeniorLead💰 $65 - $70 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable AI and machine learning solutions, with a strong focus on enterprise architecture, cloud platforms, and compliance with security and governance standards. Proven ability to lead technical design activities and mentor teams in complex environments.

Highest-signal resume keywords

AI Architecture DesignMachine Learning SolutionsCloud AI/ML PlatformsMLOps and CI/CDNLP and LLMs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureMachine LearningGenerative AINatural Language ProcessingData EngineeringPythonMLOpsModel DeploymentCloud SecurityEnterprise Integration Patterns

Soft Skills

Excellent CommunicationProblem-SolvingStakeholder Engagement

Tools & Technologies

Microsoft AzureAWSGCPAPIsMicroservices

Industry Keywords

Healthcare AI SolutionsData GovernanceCompliance RequirementsTechnical StrategyArchitecture Reviews

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformMicroservicesPython

About the role

Key responsibilities & impact

Define enterprise AI architecture, technical strategy, standards, and solution patterns
Design scalable AI, machine learning, and generative AI solutions for complex healthcare and enterprise use cases
Lead architecture and technical design activities from proof of concept through production deployment
Evaluate AI/ML models, platforms, frameworks, and cloud services based on business and technical requirements
Design solutions leveraging LLMs, generative AI, NLP, machine learning, and intelligent automation
Develop architectural approaches for RAG, enterprise search, knowledge management, and AI-enabled applications
Design secure integration patterns between AI capabilities, enterprise applications, APIs, data platforms, and cloud environments
Partner with data engineering and analytics teams to establish data architecture for AI solutions
Provide architectural guidance for MLOps, model deployment, monitoring, versioning, and lifecycle management
Establish reusable AI architecture patterns, frameworks, and technical standards
Ensure AI solutions meet federal security, privacy, accessibility, data governance, and compliance requirements
Participate in architecture reviews, technical evaluations, and solution design sessions
Collaborate with cybersecurity teams to identify and address AI implementation risks
Provide technical leadership and mentoring to AI/ML engineers, data scientists, developers, and other technical team members
Communicate complex AI concepts and architectural recommendations to technical and non-technical stakeholders
Support responsible AI practices, including governance, transparency, security, and human oversight

Requirements

What you’ll need

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or a related technical discipline
7+ years of progressive technology experience, including significant experience in enterprise solution or cloud architecture
Demonstrated experience architecting AI/ML solutions in complex enterprise environments
Experience designing and implementing machine learning and generative AI solutions
Strong knowledge of LLMs, NLP, machine learning, data engineering, and modern AI architecture
Experience with public cloud AI/ML platforms such as Microsoft Azure, AWS, or GCP
Understanding of APIs, microservices, enterprise integration patterns, and distributed architectures
Experience with Python and modern AI/ML frameworks
Experience with MLOps, CI/CD, model deployment, monitoring, and lifecycle management
Strong understanding of cloud security, identity and access management, and data protection principles
Excellent communication, problem-solving, and stakeholder engagement skills
Ability to meet applicable federal background investigation requirements

Benefits

Comp & perks

Paid sick leave
Optional medical and dental insurance
Optional 401(k) retirement plan
Employer-paid life insurance
Employer-paid short-term disability insurance
Optional life insurance