Architect

🕒 September 24

🗽 New York – Remote

🗽 New York – Remote

💵 $160k - $165k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2019-01

Healthcare • Insurance • Logistics

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Define agentic AI reference architectures across LLM applications, RAG pipelines, tool/function 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 for production applications • Enable clients to move from AI experimentation to secure, scalable, production-grade agentic AI solutions • Accelerate enterprise automation, developer productivity, operational efficiency, and time-to-market through reusable AI frameworks and modern engineering practices • Drive measurable business value through AI-first platforms aligned to customer success and engineering excellence

🎯 Requirements

• 8+ years of software engineering, solution architecture, enterprise architecture, or platform engineering experience • 2+ years of hands-on experience building AI, GenAI, LLM-powered, or agentic applications • Strong understanding 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 engineering skills in Python and one or more of Java, Go, Node.js, React, TypeScript, APIs, microservices, SQL/NoSQL, and event-driven systems • Experience with Google Cloud, AWS, or Azure, including Docker, Kubernetes, CI/CD, DevSecOps, and cloud-native deployment patterns • Production deployment experience preferred • Experience with AI evaluation frameworks, observability tools, guardrails, and feedback loops is nice to have • Knowledge of fine-tuning, model optimization, open-source LLM deployment, multi-agent coordination, and autonomous decision-making systems is nice to have • Experience with Pinecone, Weaviate, Chroma, Vertex AI Vector Search, Google Workspace APIs, Slack integrations, or enterprise automation tools is nice to have • Exposure to AI-driven SDLC tools, cloud certifications, open-source AI contributions, or fast-paced innovation environments is nice to have

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