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About the Role

SkillNet Solutions is seeking an AI Solutions Architect to collaborate with engineering, product, and architecture teams. This role involves reviewing current AI initiatives, designing reference architectures for multi-agent orchestration and RAG systems, establishing prompt governance, defining platform resiliency, and setting AI safety standards. The goal is to build a sequenced implementation roadmap for AI platform development.

Responsibilities

Review current AI initiatives, identify consolidation opportunities, and collaborate on a unified platform.
Design reference architecture for multi-agent orchestration, intent classification and routing, and context flow.
Collaborate on context management strategy, including token budgets, conversation summarization, and scoped context passing.
Design RAG architecture, including chunking strategies, hybrid retrieval, reranking, and citation grounding.
Help establish prompt governance practices, including versioning, A/B testing, performance monitoring, and rollback workflows.
Define platform resiliency patterns for LLM-dependent systems, including provider failover, circuit breakers, and graceful degradation.
Set AI safety and governance standards, including guardrails, PII handling, output filtering, and hallucination mitigation.
Partner with leadership to build a sequenced implementation roadmap for execution.

Requirements

Designed and shipped multi-agent AI platforms capable of handling thousands of concurrent sessions with graceful failure modes.
Built real-time conversational AI systems with proper session memory and context management.
Architected RAG pipelines that have addressed chunking tradeoffs, embedding drift, stale indexes, and retrieval quality at scale.
Worked across multiple LLM providers (OpenAI, Claude/Bedrock, Gemini, open-source) understanding tradeoffs in cost, latency, quality, and reliability.
Designed intent classification systems that handle multi-label, hierarchical taxonomies, ambiguous inputs, and confidence-based routing.
Built both real-time and batch ML pipelines and understand their appropriate use cases.
Operated in cloud-native environments (AWS, GCP, or Azure) and can make infrastructure decisions.

Skills

Multi-agent AI platforms
Real-time conversational AI systems
RAG architecture
LLM providers (OpenAI, Claude/Bedrock, Gemini, open-source)
Intent classification systems
Real-time and batch ML pipelines
Cloud-native environments (AWS, GCP, Azure)
Orchestration frameworks (LangGraph, LangChain, LlamaIndex)
Self-hosted model serving (Ollama, vLLM)
AI platform standards

Location

Remote (US time zone overlap required)

Work Type

Contract
Consulting
Remote

Experience Level

10+ years in software/ML architecture
5+ years in enterprise AI

About the Company

SkillNet Solutions, Inc. is a leader in modern commerce, delivering consulting, AI solutions, and technology services to enterprises undergoing digital transformation.
SkillNet helps clients adapt to evolving consumer behaviors and build seamless client journeys across B2B, B2C, and B2B2C markets by implementing cloud and SaaS applications.
Founded in 1996, SkillNet has partnered with industry leaders such as Oracle, Salesforce, and AWS.
SkillNet has delivered solutions across 63 countries for global enterprises including Disney, lululemon athletica, and PayPal.
SkillNet continues to redefine what’s possible in unified commerce and retail transformation.