Ai Agentic Solution Architect – Azure, Openai, Gemini, N8n

3 weeks ago


Bengaluru, India Whatjobs IN C2 Full time

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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