Brillio

Architect - R01571180

Brillio • $160K — $165K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in software engineering, solution architecture, or platform engineering.
  • 2+ years building AI, GenAI, or LLM-powered applications with production deployment experience.
  • Strong understanding of LLMs, RAG, and AI workflow orchestration.
  • Proficient in Python and one or more languages like Java, Go, or Node.js.
  • Experience with cloud platforms (Google Cloud, AWS, Azure) and modern deployment practices.

Responsibilities

  • Define agentic AI reference architectures for LLM applications and enterprise integrations.
  • Design and deploy AI agents for various business functions including Finance and Operations.
  • Evaluate and integrate AI solutions with enterprise platforms like Google Workspace and CRM systems.
  • Implement observability and responsible AI practices for production applications.
  • Drive the transition from AI experimentation to production-ready deployments.

Benefits

  • Remote work with occasional travel opportunities.
  • Engagement in cutting-edge AI technology and frameworks.
  • Opportunity to influence enterprise automation and operational efficiency.
  • Work in a fast-paced, innovative environment with a focus on engineering excellence.
Full Job Description
Architect
Primary Skills
  • AWS Networking, AWS Kenesis, AWS Elastic Cache, AWS PaaS Services, AWS EKS, AWS Cognito, Solution Architecture - AWS, AWS Redshift
Job requirements
  • Job Title: AI / Agentic AI Architect
    Role: Architect - Agentic AI Platforms & Applications
    Location: NY
  • Work Type: Remote with occasional travel


  • Job Summary
    We are looking for an experienced AI / Agentic AI Architect to design, build, and scale enterprise-grade AI agents, autonomous workflows, and LLM-powered applications. The role combines hands-on AI engineering, solution architecture, cloud-native modernization, and stakeholder advisory to move high-value AI use cases from rapid experimentation to secure, governed, production-ready deployment.


  • Key Responsibilities
    • 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 business functions such as Finance, Legal, Operations, Sales, Support, and Growth.
    • 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 enterprise platforms such as 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.


  • Required Skills & Experience
    • 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; production deployment experience preferred.
    • Strong understanding of LLMs, RAG, prompt engineering, vector databases, tool/function calling, context management, memory systems, and AI workflow orchestration.
    • Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or similar.
    • 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.
  • Nice to Have Skills
    • Experience with AI evaluation frameworks, observability tools, guardrails, and feedback loops.
    • Knowledge of fine-tuning, model optimization, open-source LLM deployment, multi-agent coordination, and autonomous decision-making systems.
    • Experience with Pinecone, Weaviate, Chroma, Vertex AI Vector Search, Google Workspace APIs, Slack integrations, or enterprise automation tools.
    • Exposure to AI-driven SDLC tools, cloud certifications, open-source AI contributions, or fast-paced innovation environments.
    Impact & Value
    • 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, care, entrepreneurial ownership, and engineering excellence.


Salary: 160-165 USD per year salary

About Brillio

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

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There has never been a more opportune time to join Brillio—the forefront of innovation and digital transformation.

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Brillio offers a plethora of job opportunities aimed at harnessing the potential of professionals eager to drive change. With a focus on technology and consulting, Brillio is not just a company; it's a vibrant ecosystem conducive to growth and professional development.

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Embark on a journey of growth and leadership at Brillio. This is where industry expertise meets digital innovation to transform businesses and industries. Brillio stands out in the marketplace, providing a unique blend of technology solutions and strategic insights.

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At Brillio, every team member is an innovator and leader. The company fosters a culture of continuous learning and improvement, encouraging each individual to push boundaries and contribute to groundbreaking projects.

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Learn more about Brillio
Industry
Founded
2014

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