Sr. AI Principal Architect

Ethereum Technologies; Dallas (TX); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking a senior AI Principal Architect to lead enterprise Conversational and Agentic AI initiatives in Dallas. You will architect and implement AI agents, voice-enabled assistants, and scalable Generative AI solutions on AWS Bedrock, leveraging LangChain, LangGraph, and MCP.

You will drive RAG architectures, embeddings, vector databases, memory, and multi-agent workflows, while ensuring security, observability, and production-readiness.

Formación

• 15+ years of IT experience with significant AI/ML or Conversational AI experience.
• Strong hands-on Python and AWS cloud architecture expertise.
• Extensive experience with AWS Bedrock and foundation models.
• Hands-on experience with LangChain and LangGraph.
• Practical MCP (Model Context Protocol) client/server architecture experience.
• Experience with AWS Nova Sonic or real-time voice AI tech.
• Knowledge of Agentic AI, LLMs, RAG, embeddings, and vector DBs.
• Experience with AI agents, tool function calling, memory, and multi-agent systems.
• Strong APIs, microservices, event-driven architecture, cloud security, and production AI systems.

Responsabilidades

• Lead architecture and design of enterprise-grade Conversational and Agentic AI solutions.
• Design and implement AI agents using Python, LangChain, LangGraph, and MCP.
• Build conversational apps including voice-enabled assistants and chatbots.
• Leverage AWS Bedrock for scalable Generative AI solutions.
• Implement RAG architectures, embeddings, vector databases, and multi-agent workflows.
• Work with AWS Nova Sonic for real-time speech-to-speech use cases.
• Establish AI security, governance, observability, scalability, and performance standards.
• Provide technical leadership, conduct architecture reviews, and mentor teams.
• Guide AI solutions from PoCs to production deployment.

Conocimientos

Python

AWS Cloud

Bedrock

LangChain

LangGraph

MCP

LLMs

RAG

Embeddings

Multi-Agent Systems

APIs & Microservices

Security & Observability

Herramientas

LangChain

LangGraph

MCP

AWS Bedrock

Nova Sonic

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are seeking a senior-level AI Principal Architect with deep expertise in Conversational AI, Generative AI, Agentic AI, and AWS cloud technologies. The ideal candidate will lead enterprise AI architecture, design intelligent conversational solutions, and guide complex AI initiatives from proof of concept to production.

Key Responsibilities:

• Lead the architecture and design of enterprise-grade Conversational AI and Agentic AI solutions.
• Design and implement AI agents using Python, LangChain, LangGraph, and MCP.
• Build conversational applications, including voice-enabled assistants, chatbots, and virtual agents.
• Leverage AWS Bedrock and foundation models to develop scalable Generative AI solutions.
• Implement RAG architectures, embeddings, vector databases, tool/function calling, memory, and multi-agent workflows.
• Work with AWS Nova Sonic for real-time speech-to-speech conversational AI use cases.
• Establish AI security, governance, observability, scalability, and performance standards.
• Provide technical leadership, conduct architecture reviews, and mentor AI engineering teams.
• Guide AI solutions from PoCs and prototypes through production deployment.

Required Skills:

• 15+ years of overall IT experience with significant AI/ML, Generative AI, or Conversational AI experience.
• Strong hands‑on expertise in Python and AWS cloud architecture.
• Extensive experience with AWS Bedrock and foundation models.
• Hands‑on experience with LangChain and LangGraph.
• Practical experience with MCP (Model Context Protocol), including MCP client/server architecture.
• Experience with AWS Nova Sonic or comparable real‑time voice AI technologies.
• Strong understanding of Agentic AI, LLMs, RAG, embeddings, vector databases, and prompt engineering.
• Experience with AI agents, tool calling, function calling, memory, and multi‑agent systems.
• Strong understanding of APIs, microservices, event‑driven architecture, cloud security, and production AI systems.
• Excellent architecture, communication, problem‑solving, and technical leadership skills.

Preferred Qualifications:

• Enterprise Conversational AI platform development.
• Voice AI, speech‑to‑text, text‑to‑speech, and real‑time speech technologies.
• AWS Lambda, ECS/EKS, API Gateway, S3, DynamoDB, OpenSearch, CloudWatch, and IAM.
• CI/CD, DevOps, MLOps, and AI observability.
• Experience leading architecture discussions with senior technical and business stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.