AI Architect
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 3, 2026.
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
Required Experience and Technical Skills
8-10+ years of relevant software engineering, AI engineering, or enterprise architecture experience preferred.
Strong hands-on Python programming and backend application development.
Proven experience designing and implementing enterprise Generative AI and Large Language Model (LLM) solutions.
Hands-on experience with Agentic AI, autonomous AI agents, multi-agent systems, and agent orchestration.
Practical experience with LangChain and LangGraph for LLM workflows and agent-based applications.
Strong experience implementing Retrieval-Augmented Generation (RAG) solutions.
Experience with vector databases, embeddings, semantic search, and document retrieval architectures.
Experience designing and integrating LLM applications through REST APIs, FastAPI, or similar frameworks.
Strong understanding of enterprise AI architecture, distributed systems, microservices, and cloud-native applications.
Experience deploying AI applications on AWS, Microsoft Azure, or Google Cloud Platform.
Experience designing secure, scalable, reliable, and production-ready AI systems.
Understanding of AI model evaluation, LLMOps, monitoring, observability, security, and governance.
Experience collaborating with engineering teams, business stakeholders, and technical leadership.
Strong problem-solving, architecture design, and technical communication capabilities.
Preferred Experience
AWS Bedrock, Azure OpenAI, Azure AI services, or equivalent enterprise AI platforms.
Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure automation.
Multi-agent orchestration, tool calling, Model Context Protocol (MCP), and advanced Agentic AI frameworks.
Enterprise AI guardrails, prompt engineering, model evaluation, and cost optimization.
Experience leading end-to-end AI implementations from architecture through production delivery.
Employment and Work Arrangement Requirements
Location: Boston, Massachusetts, or New Jersey or Franklin.
Hybrid work arrangement requiring approximately 3 - 4 days onsite per week.
One-year W2 contract engagement.
Candidates must have appropriate U.S. work authorization for W2 employment.
Willingness to work onsite at the assigned location and collaborate with distributed engineering teams.