Why This Role Stands Out
This remote, long-term contract offers a unique opportunity to shape the architecture of a high-priority AI application, providing significant impact and hands-on technical leadership. You'll thrive here if you're a seasoned AI architect or engineer eager to build production-grade systems using cutting-edge LLM technologies and establish best practices for AI development. Apply now to join a prestigious global firm and advance your career in a flexible, impactful role.
Quick Overview
Job Description
Senior AI Architect / Engineer
U.S. based long-term contract opportunity | Primarily remote | Travel to New Jersey approximately every 1 2 months
For our direct client, a prestigious global firm, we seek senior AI architects and engineers to build a high-priority application headed for production and help shape it into a scalable platform. This is a hands-on role with room to make meaningful architecture decisions. You ll write code, guide technical work across teams, and help establish practical ways to develop, test, deploy, and monitor AI applications.
Responsibilities:
Design and build production-grade agentic AI applications and workflows on Azure.
Develop solutions using LLMs, RAG, vector databases, and orchestration frameworks such as LangChain or LangGraph.
Establish AgentOps practices, including automated testing, evaluation, CI/CD, versioning, and production monitoring.
Make sound architecture choices across application, data, and cloud services, with attention to scalability, cost, security, and data governance.
Work independently and provide technical direction while staying closely involved in implementation.
Help test and refine an AI-assisted software development process, with flexibility in the coding tools you use.
Desired Experience:
Substantial software engineering experience and strong data engineering fundamentals.
Several years building AI applications, such as agents, chatbots, or recommender systems.
Direct experience designing, coding, and shipping at least one production-grade application.
Deep understanding of LLM and agentic system design, including evaluation and risks such as prompt injection and data leakage.
Experience deploying and operating applications in Azure; familiarity with containers, microservices, or event-driven systems is valuable.
The judgment to balance delivery speed with long-term reliability and the ability to lead without stepping away from the code.
Candidates must be based in the United States and able to travel to New Jersey for occasional team workshops. (i.e. every month or two for 2-3 days expenses to be reimbursed)
Immediate interview and hire!
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