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Architect - R01571180

5 days, 10 hours ago
United States
Lead
AI Engineer
Software Development
AWS Azure CI/CD CRM DevSecOps Docker GCP Generative AI Go Java Kubernetes LLM Microservices Node.js Python React SQL TypeScript Vertex AI
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Brillio

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, partnering with companies to drive business improvement and competitiveness through innovative technology solutions.

IT Services
1001-5000
Founded 2014
View All Jobs 16

Description

  • Define reference architectures for LLM applications, RAG pipelines, tool calling, memory systems, multi-agent orchestration, and enterprise integrations.
  • Design and deploy AI agents and autonomous workflows for Finance, Legal, Operations, Sales, Support, and Growth functions.
  • Evaluate foundation models and enterprise AI platforms, including Gemini, Vertex AI, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source LLMs.
  • Integrate AI solutions with Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories.
  • Implement observability, evaluation, guardrails, monitoring, reliability controls, and responsible AI practices.
  • Advance AI use cases from experimentation to secure, governed, production-ready deployments.
  • Develop reusable AI frameworks that improve enterprise automation, productivity, operational efficiency, and time-to-market.

Requirements

  • 8+ years of experience in software engineering, solution architecture, enterprise architecture, or platform engineering.
  • 2+ years of hands-on experience building AI, GenAI, LLM-powered, or agentic applications; production deployment experience preferred.
  • Strong knowledge of LLMs, RAG, prompt engineering, vector databases, tool/function calling, context management, memory systems, and AI workflow orchestration.
  • Hands-on experience with LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or similar frameworks.
  • Strong Python skills and experience with one or more of Java, Go, Node.js, React, TypeScript, APIs, microservices, SQL/NoSQL, or event-driven systems.
  • Experience with Google Cloud, AWS, or Azure, including Docker, Kubernetes, CI/CD, DevSecOps, and cloud-native deployment patterns.
  • Experience with AI evaluation frameworks, observability tools, guardrails, and feedback loops preferred.
  • Knowledge of fine-tuning, model optimization, open-source LLM deployment, multi-agent coordination, or autonomous decision-making systems preferred.
  • Experience with Pinecone, Weaviate, Chroma, Vertex AI Vector Search, Google Workspace APIs, Slack integrations, or enterprise automation tools preferred.
  • Exposure to AI-driven SDLC tools, cloud certifications, open-source AI contributions, or fast-paced innovation environments preferred.

Benefits

  • Remote work arrangement with occasional travel.

Interested in this position?

Apply directly on the company website

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