LLM Solution Architect (Contract)

Main Line Talent Group
Havertown, PA

Job Description

Job Description

This is a remote position.

Job Title: LLM Consultant

Location: Remote

Employment Type: Contract

Position Overview

We are seeking an LLM Consultant to design, implement, and deploy large language model (LLM) solutions within enterprise environments. This role will focus on building agentic workflows, integrating LLMs with ERP and business systems, and translating business requirements into scalable AI-enabled applications.

The ideal candidate combines strong technical depth in LLM architecture with the ability to operate in client-facing, transformation-driven environments. Enaggements will be project based.

Key Responsibilities
  • Design and deploy LLM-powered applications and agentic systems

  • Build and orchestrate subagents with tool-calling and API integrations

  • Develop retrieval-augmented generation (RAG) architectures

  • Integrate LLM solutions into ERP, CRM, and other enterprise platforms

  • Implement structured output validation, guardrails, and monitoring

  • Collaborate with business stakeholders to identify high-value AI use cases

  • Optimize prompts, context handling, and memory management

  • Ensure security, data governance, and production scalability

RequirementsRequired Qualifications
  • 3+ years in AI/ML engineering, applied LLM development, or AI consulting

  • Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)

  • Experience building multi-agent or tool-enabled workflows

  • Strong Python development skills

  • Experience with APIs, microservices, and cloud deployment (AWS/Azure/GCP)

  • Familiarity with vector databases and embedding pipelines

  • Ability to translate business problems into AI-driven solutions

Preferred Experience
  • ERP system integration experience (e.g., Infor, Epicor, NetSuite, SAP, etc.)

  • Production deployment of LLM-powered systems

  • Experience with observability, logging, and model monitoring

  • Understanding of ML fundamentals and predictive modeling

Posted 2026-03-29

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