This is a remote position.
We are seeking an experienced AI Architect to design, develop, and deliver scalable enterprise Artificial Intelligence solutions. The role focuses on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-based AI architectures.
The ideal candidate will bring strong hands-on Python development experience, enterprise architecture expertise, and the ability to lead AI solutions from design through production deployment. This is a 12-month W2 contract opportunity based in the Boston area or New Jersey or Franklin, with a hybrid arrangement requiring approximately 3–4 days onsite per week.
Requirements
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8–10+ years of relevant software engineering, AI engineering, or enterprise architecture experience preferred.
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Strong hands-on Python programming and backend application development.
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Proven experience designing and implementing enterprise Generative AI and Large Language Model (LLM) solutions.
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Hands-on experience with Agentic AI, autonomous AI agents, multi-agent systems, and agent orchestration.
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Practical experience with LangChain and LangGraph for LLM workflows and agent-based applications.
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Strong experience implementing Retrieval-Augmented Generation (RAG) solutions.
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Experience with vector databases, embeddings, semantic search, and document retrieval architectures.
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Experience designing and integrating LLM applications through REST APIs, FastAPI, or similar frameworks.
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Strong understanding of enterprise AI architecture, distributed systems, microservices, and cloud-native applications.
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Experience deploying AI applications on AWS, Microsoft Azure, or Google Cloud Platform.
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Experience designing secure, scalable, reliable, and production-ready AI systems.
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Understanding of AI model evaluation, LLMOps, monitoring, observability, security, and governance.
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Experience collaborating with engineering teams, business stakeholders, and technical leadership.
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Strong problem-solving, architecture design, and technical communication capabilities.
Preferred Experience
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AWS Bedrock, Azure OpenAI, Azure AI services, or equivalent enterprise AI platforms.
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Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure automation.
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Multi-agent orchestration, tool calling, Model Context Protocol (MCP), and advanced Agentic AI frameworks.
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Enterprise AI guardrails, prompt engineering, model evaluation, and cost optimization.
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Experience leading end-to-end AI implementations from architecture through production delivery.
Employment and Work Arrangement Requirements
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Location: Boston, Massachusetts, or New Jersey or Franklin.
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Hybrid work arrangement requiring approximately 3 - 4 days onsite per week.
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One-year W2 contract engagement.
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Candidates must have appropriate U.S. work authorization for W2 employment.
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Willingness to work onsite at the assigned location and collaborate with distributed engineering teams.
