About this role
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.