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Remote AI Architect
Career Insights for Natural Language Processing Engineer
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$124,645 / year median in Rhode Island
Job Description
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Position range in Rhode Island $91k
- $148k Per Year Remote AI Architect
Insight Global
Occupation:
Software Developers
Location:
Woonsocket, RI
- 02895
Job Type:
Full Time (30 Hours or More)
Posted:
07/29/2026
Positions available: 1
Source:
NLX
Web Site:
usnlx.com
Job #: 294992501
Job Requirements and Properties
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Full Time Schedule
Full Time
Job Description
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Insight Global is seeking a hands-on Lead AI Agent Architect to build an AI powered software engineering platform that transforms how technology solutions are delivered. This role will design, develop, and deploy a multi agent ecosystem that automates key software development lifecycle activities, including requirements analysis, solution design, code generation, testing, documentation, and release preparation.
The ideal candidate is a builder with deep software engineering and AI expertise who can independently create AI agents that work together as a digital engineering workforce. This individual will rapidly deliver proof of concepts, deploy production solutions, and establish a scalable foundation for AI driven software engineering.
The primary objective of this role is to build an AI powered software engineering factory that converts business requirements into production ready software through a coordinated ecosystem of AI agents with appropriate human oversight, resulting in measurable improvements in productivity, quality, and delivery speed.
Key Responsibilities
- Design, build, and deploy AI agents that automate software engineering workflows.
- Create solutions that BRDs, user stories, enhancement requests, and defect tickets into technical deliverables.
- Develop agent orchestration frameworks that enable AI agents to collaborate across requirements, architecture, development, testing, and documentation.
- Integrate AI agents with Azure DevOps, GitHub, Jira, CI/CD pipelines, and enterprise platforms.
- Implement governance, security controls, human approval gates, and auditability throughout the software delivery lifecycle.
- Measure and demonstrate productivity gains, delivery acceleration, and quality improvements enabled by AI.
- Evaluate emerging AI technologies and establish a roadmap for scaling AI driven software engineering capabilities.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
- 10+ years of software engineering, solution architecture, or enterprise application development experience.
- 3+ years of experience building AI powered applications using Generative AI and Large Language Models.
come in and build AI factory - Strong software architecture, system design, and application development experience.
- Expert level Python development skills.
- Experience with APIs, cloud platforms, DevOps, CI/CD, automated testing, and software engineering best practices.
- Proven ability to independently deliver complex technical solutions from concept through production deployment. Experience with one or more of the following:
- Claude Code
- GitHub Copilot Agent Mode
- OpenAI Agents SDK
- LangGraph
- CrewAI
- LangChain
- Model Context Protocol (MCP)
- Azure AI Foundry
- AWS Bedrock
- Retrieval Augmented Generation (RAG)
- Agent orchestration frameworks
- Vector databases and AI evaluation platforms