Remote Enterprise AI Foundation Architect

Keyrus; New York (NY); Hybrid; USD 145,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401K plan

Monthly Wellness Allowance

4 weeks of paid vacation

Language courses (French & English)

Continuing education access

Job summary

Keyrus in the United States is seeking an AI Foundation Architect to design the technical foundations enabling production AI and agentic solutions at scale in enterprise environments.

You will connect cloud infrastructure, data platforms, enterprise apps, models, agents, and security capabilities to deliver secure, scalable architectures that support business needs while guiding engineering teams and advising clients.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Cloud architecture

GenAI / LLM

Distributed systems

Security architecture

MLOps / CI/CD

Leadership / consulting

Tools

Terraform

Kubernetes

CI/CD tools

AWS/Azure/GCP

Job description

Keyrus in the United States is seeking an AI Foundation Architect to design the technical foundations enabling production AI and agentic solutions at scale in enterprise environments.

You will connect cloud infrastructure, data platforms, enterprise apps, models, agents, and security capabilities to deliver secure, scalable architectures that support business needs while guiding engineering teams and advising clients.