AI Agentic Solution Architect – Azure, OpenAI, Gemini, n8n
Location : Hybrid
Company : Unicorn Lab
Employment Type : Full-time
Experience : 7+ years total (3+ years in LLM / Agentic systems)
Start Date : Immediate
We are seeking an experienced AI Agentic Solution Architect with deep hands-on expertise in building Azure-based, multi-agent AI systems using OpenAI , Gemini , and n8n orchestration . You will lead the design and delivery of advanced Agentic AI copilots and intelligent automation platforms across justice, healthcare, and public sector domains—integrating document intelligence, voice, workflow automation, and retrieval-augmented generation.
You’ll architect secure, scalable systems that bring together multiple LLMs , low-code orchestrators like n8n , and Azure-native services (OpenAI, Cognitive Services, API Management, Functions, etc.) to deliver production-grade experiences for end users.
Key Responsibilities
- Architect multi-agent AI systems using OpenAI (GPT-4 / 4o) and Gemini 1.5 Pro integrated with secure Azure infrastructure .
- Design agentic workflows using n8n for orchestrating tasks between LLMs, APIs, databases, and human validation.
- Deploy AI copilots (chat / voice) with task-specific agents : e.g., document reviewer, voice note summarizer, notary validator, or legal advisor.
- Integrate Azure OpenAI , Azure API Management , Azure Functions , Azure Speech , and Azure Form Recognizer with agentic flows.
- Implement multi-model orchestration strategies that leverage different LLMs for different tasks (e.g., Gemini for long-context, OpenAI for summarization, etc.).
- Build RAG pipelines with Azure Cognitive Search , vector DBs , and secure file ingestion for grounding agents on enterprise content.
- Configure token optimization , rate limit handling , and fallback strategies across multi-LLM ecosystems.
- Use n8n to manage modular agent tasks, event-based logic, and trigger-based actions across internal and external services.
- Drive infrastructure automation using Terraform , with support for Kubernetes , AKS , or App Services .
- Ensure all deployments are secure, scalable, and compliant with industry and regional standards (e.g., CAIT, HIPAA, GDPR).
Required Skills & Experience
7+ years of software or solutions architecture experience, with 3+ years in AI / LLM / Agentic systems .Strong proficiency with Azure AI services , especially Azure OpenAI , API Management , Functions , Form Recognizer , Speech Services , Key Vault , and Monitor .Hands-on experience with OpenAI GPT models , Google Gemini , and multi-agent orchestration frameworks .Expert in using n8n for low-code workflow automation across AI and enterprise systems.Experience building RAG or hybrid LLM pipelines using vector databases , search services , or blob storage ingestion .Knowledge of LLM behavior , token usage, latency patterns, and fine-tuning vs function calling tradeoffs.Comfortable with CI / CD pipelines , Terraform , Docker , AKS , and hybrid cloud deployment.Familiarity with security , governance , role-based access , API gateways , and data privacy for AI systems.Preferred Qualifications
Experience designing AI copilots for real-world enterprise / government scenarios.Certifications : AI-102 , AZ-305 , or Terraform Associate .Familiarity with Anthropic Claude , Mistral , or local fine-tuned LLMs .Background working with Justice, Health, FDI , or smart government systems is a plus.Experience implementing moderation , guardrails , logging , and fallback routing in LLM systems.