Remote Enterprise AI Foundations Architect

Keyrus; United States; Remote; USD 145.000 - 180.000; Vollzeit

Zusammenfassung

Keyrus in the United States is seeking an AI Foundation Architect to design and deploy scalable AI foundations in enterprise environments. You will connect cloud infrastructure, data platforms, applications, models, and security to deliver reliable architectures aligned with business needs.

You will lead architecture decisions, guide engineering teams, and help govern production GenAI solutions while balancing cost, performance, and security.

Qualifikationen

• 8+ years of experience designing and owning complex enterprise, solution, cloud, or data architectures in production environments.
• Recent experience architecting production GenAI, LLM, or agentic systems, including integration with enterprise applications and operational infrastructure.
• Experience defining reference architectures, technical standards, integration patterns, and architecture decisions.
• Experience designing distributed systems and enterprise integrations across multiple technical environments.
• Ability to evaluate architecture trade-offs involving security, reliability, scalability, performance, maintainability, and cost.
• Strong client-facing consulting experience, including guiding multidisciplinary engineering teams and advising client architects, technical leaders, and business stakeholders.

Aufgaben

• Lead architecture discovery with clients to understand business objectives, existing systems, technical constraints, and AI requirements.
• Define target architectures for production AI and GenAI solutions, integrating models, agents, cloud services, enterprise data, applications, and APIs.
• Own key architecture decisions within the assigned scope, establishing reference patterns, technical boundaries, and design standards.
• Design secure and reliable foundations addressing identity, access, scalability, resilience, observability, and operational requirements.
• Evaluate architecture trade-offs, including model selection, performance, latency, infrastructure costs, and AI consumption patterns.
• Guide AI Engineers, Data Engineers, Software Engineers, and cloud specialists to ensure consistency across technical implementations.
• Advise client stakeholders, review technical designs, and document reusable architecture patterns and decisions.
• Convert successful architecture decisions into reusable Keyrus assets, including reference architectures, decision records, standards, patterns, and design guidance that can strengthen future engagements.

Kenntnisse

Cloud architecture

GenAI architectures

Distributed systems

Security architecture

MLOps / CI/CD

Consulting experience

Tools

Terraform

Kubernetes

LangGraph

Jobbeschreibung

Keyrus in the United States is seeking an AI Foundation Architect to design and deploy scalable AI foundations in enterprise environments. You will connect cloud infrastructure, data platforms, applications, models, and security to deliver reliable architectures aligned with business needs.

You will lead architecture decisions, guide engineering teams, and help govern production GenAI solutions while balancing cost, performance, and security.