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AI Agentic Solution Architect – Azure, OpenAI, Gemini, n8n
AI Agentic Solution Architect – Azure, OpenAI, Gemini, n8nUnicorn Lab • Bengaluru, Karnataka, India
AI Agentic Solution Architect – Azure, OpenAI, Gemini, n8n

AI Agentic Solution Architect – Azure, OpenAI, Gemini, n8n

Unicorn Lab • Bengaluru, Karnataka, India
1 day ago
Job description

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.
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