BR
BrillioArchitect - R01571180
LocationNew York, New York, United States
Work moderemote
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentDigital Engineering, Digital Engineering : Digital Engineering
Company size5,001–10,000 people
PostedSep 18, 2026 · 3w ago
Verified live16h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
AWS Networking
AWS Kenesis
AWS Elastic Cache
AWS PaaS Services
AWS EKS
AWS Cognito
AWS Redshift
Python
Java
Go
Node.js
React
TypeScript
LangChain
LangGraph
CrewAI
Google ADK
AutoGen
Semantic Kernel
Docker
Kubernetes
Pinecone
Weaviate
Chroma
Vertex AI Vector Search
Google Cloud
AWS
Azure
Google Workspace
Slack
Gemini
Vertex AI
OpenAI
Anthropic
Azure OpenAI
AWS Bedrock
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as “Brillians”, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio’s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Architect
Primary Skills
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AWS Networking, AWS Kenesis, AWS Elastic Cache, AWS PaaS Services, AWS EKS, AWS Cognito, Solution Architecture - AWS, AWS Redshift
Job requirements
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Job Title: AI / Agentic AI Architect
Role: Architect – Agentic AI Platforms & Applications
Location: NY
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Work Type: Remote with occasional travel
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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.
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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.
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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
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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.
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