AI Solutions Architect

SkillNet Solutions, Inc.

AI Solutions Architect working on enterprise AI architecture for SkillNet, focusing on multi-agent systems and real-time conversational AI solutions. Collaborating with engineering and product leadership to guide AI initiatives.

Posted 7/22/2026contractRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and implementing multi-agent AI platforms, with a strong focus on real-time conversational AI systems and RAG architecture. Proven ability to collaborate with cross-functional teams to establish AI safety standards and governance practices in cloud-native environments.

Highest-signal resume keywords

Software/ML ArchitectureEnterprise AIMulti-Agent AI PlatformsReal-Time Conversational AI SystemsRAG Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureMachine Learning ArchitectureMulti-Agent AI DesignReal-Time AI SystemsRAG ArchitectureIntent Classification SystemsML Pipeline DevelopmentCloud-Native EnvironmentsPrompt Governance PracticesPlatform Resiliency Patterns

Soft Skills

CollaborationLeadership Partnership

Industry Keywords

AI Safety StandardsGovernance PracticesContext Management StrategyImplementation Roadmap

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Work closely with engineering, product, and architecture teams
Review current AI initiatives with engineering teams
Design reference architecture for multi-agent orchestration
Collaborate on context management strategy
Design RAG architecture with data and ML teams
Establish prompt governance practices
Define platform resiliency patterns for LLM-dependent systems
Set AI safety and governance standards
Partner with leadership to build implementation roadmap

Requirements

What you’ll need

10+ years in software/ML architecture
5+ years in enterprise AI
Designed and shipped multi-agent AI platforms
Built real-time conversational AI systems
Architected RAG pipelines
Worked across multiple LLM providers
Designed intent classification systems
Built both real-time and batch ML pipelines
Operated in cloud-native environments

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities