AI / Agentic AI Architect (AWS)

Location: Remote within the United States, based in New York, with occasional travel

Salary: $160–$165 per year

Company

hirify.global is a digital technology services provider delivering digital engineering, design, cloud, and AI solutions for enterprise clients.

What you will do

• Define reference architectures for LLM applications, RAG pipelines, tool and 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.

Requirements

• 8+ years of experience in software engineering, solution architecture, enterprise architecture, or platform engineering.
• At least 2 years of hands-on experience building AI, GenAI, LLM-powered, or agentic applications.
• Strong knowledge of LLMs, RAG, prompt engineering, vector databases, tool and 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, 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

• 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.
• Cloud certifications, open-source AI contributions, or experience with AI-driven SDLC tools.

Culture & Benefits

• Remote work with occasional travel.
• Work on enterprise AI platforms focused on automation, developer productivity, operational efficiency, and time-to-market.
• Exposure to modern cloud, AI, and digital engineering technologies.