AI / Agentic AI Architect

BrillioDigital Engineering

Remote with occasional travelFull-TimeSenior

Salary160,000 - 165,000 USD per year

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Job Details

Experience: 8+ years of software engineering, solution architecture, enterprise architecture, or platform engineering experience.
Required Skills: AWSDockerPythonSQLKubernetesGenerative AILangChain

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 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.

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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